The role sits within the UK Motor Neuron Disease Research Institute ( https://ukmndri.org) and the NIHR BRC Motor Neuron Disease theme ( www.maudsleybrc.nihr.ac.uk/research/motor-neuron-disease-mnd/), and is part of the Precision ALS programme in the TRICALS Consortium, Europe’s largest MND research initiative.

We are looking for an independent thinker who wants to be part of a growing team to lead statistical methodology and improve the efficiency of trial designs within the MND space. You will improve the generalisability of observational and interventional studies through the generation of digital twins of patients.

You will work with the statistical, computing and clinical teams to develop and test a statistical digital twins model in the neurodegenerative condition motor neuron disease (MND, ALS), including performing internal and external validation of the model and running simulations, handling clinical trial data compliant with data, confidentiality and ethics rules, working within a Trusted Research Environment to access clinical data.

You should be capable of performing the clinical trial design and virtual analyses planned, based on the modelling. Methods will include development of digital twins using Cox regression, simulation, deep learning, AI, and large language models, with validation against real world populations from a national register, clinical trials and clinic registers, including the ability to model the natural biases of each data source.

You will work closely within the multidisciplinary clinical and research teams, including the King’s Trials Methodology team ( www.kcl.ac.uk/research/trials-methodology-research-group)), reporting to Professor Ammar Al-Chalabi.

We are seeking a highly motivated Research Fellow (Statistician) to join the Eating Disorders Clinical Research Network, a groundbreaking initiative led by King’s College London and South London and Maudsley NHS Foundation Trust. you will be based in the KCL Social, Genetic, and Developmental Psychiatry Centre, within the Institute of Psychiatry, Psychology and Neuroscience (IoPPN).  

These centres offer a diverse research environment that is open, welcoming and supportive to all. The faculty-wide initiatives are supported by an active Diversity & Inclusion Team. To help us achieve our goals, we particularly welcome applications from people from backgrounds who are currently under-represented in UK Higher Education (E.g. Black, Asian, Latinx, and other white ethnic minorities). 

This Wellcome funded project focuses on how metabolism can be investigated using a range of microscopy methods, including fluorescence lifetime imaging (FLIM) and optical coherence techniques for a variety of biological systems. You will work collaboratively as one of five multidisciplinary postdoctoral researchers to develop microscope technology across length-scales from the molecular to whole organ with an emphasis on functional Imaging in three dimensions using a bespoke analysis environment. The successful candidate will assist in the construction of the 3-Photon microscopy system, integrate OCM, and liaise with team members and collaborators to co-create instrumentation, analysis environment and undertake imaging experiments on 3D cell culture models.

The successful applicant must have attained a PhD degree in Physics, Engineering, or related subject and must have extensive prior experience in both optical design and microscopy development. Previous knowledge and experience in the development of bespoke microscopy platforms (i.e. fluorescence light-sheet, confocal or multi-photon) are essential for this position. The candidate will be required to utilise high powered femtosecond laser sources, assist in the design of bespoke optics and incorporate state-of-the-art detector technologies into existing microscope platforms.

The appointee will be expected to work in an interdisciplinary team at the life sciences interface, co-ordinating with physics and biological collaborators and providing leadership to junior researchers. They will be responsible for the delivery of internationally competitive research with emphasis placed on highly motivated, team-oriented, creative individuals able to independently tackle original scientific projects.

Additional experience in programming (Python, Matlab, C++) and image data analysis is desired. Excellent communication skills are essential, and you should be keen to develop project/team leadership skills, and to establish bridges between the physical and life sciences. There may also be additional opportunities to engage in a range of complementary projects, to further explore and grow your own research interests and portfolio.

This exciting postdoctoral position is funded by a British Heart Foundation Project grant entitled “Molecular MRI signatures of fibrosis to detect heart failure and response to treatment”.  The research aims to answer the clinically important question whether molecular MR imaging can provide readouts for precision imaging of cardiac fibrosis to detect adverse cardiac remodelling, hearts at risk of failing and monitor therapeutic response. 

The candidate will work in an interdisciplinary team consisting of physicists, imaging biologists, chemists, and clinicians to develop novel MR imaging techniques for the non-invasive detection of cardiac fibrosis using new molecular imaging probes in preclinical models of heart failure. The research team is located at St Thomas´ Hospital in the Research Department of Cardiovascular Imaging which has access to 10 state-of-the-art clinical research scanners with field strengths varying from 0.55T, 1.5T, 3T to 7T. 

The specific aims of the post will be to:

1. To devise and validate a heartrate-independent, motion-resilient and fast 3D free-running cardiac T1 mapping sequence with dictionary matching at a 3T clinical suitable for preclinical imaging.
2. To closely collaborate with an imaging biologist to test and validate the newly developed protocol for accurate molecular imaging of cardiac fibrosis in rodent models of heart failure. 

I am seeking applications from highly motivated and conscientious candidates for a postdoctoral position in the group of Prof Chris Lorenz on the materials modelling of biopolymers.  The primary objectives of this project will be to apply molecular dynamics simulations to investigate (1) spider silk in the different stages of extrusion and (2) how glycosylation affects the structural properties of mucin and mucin’s interactions with the aqueous environment.  These studies will be carried out in collaboration with various experimental groups within the UK, the USA and Europe.    

The successful candidate will perform all-atom and coarse-grain classical molecular dynamics simulations to investigate these various systems.  Enhanced sampling methods may be necessary for certain aspects of the studies.  Additionally, the application of unsupervised learning which has been successfully applied to various systems within the group will be explored for characterising the conformations which are sampled in these different studies.

The position is based in the Department of Engineering which is located within the Strand Campus of King’s College London.  Our campus is located within the heart of central London. 

This is a full-time post (35 hours per week) and you will be offered a three year fixed term contract. The targeted start date is the beginning of January 2025, but there is some flexibility with this date.

We are seeking a highly motivated postdoctoral researcher with a strong background in statistical genetics and/or computational biology to join our team.

The successful applicant will lead a cutting-edge research programme which aims to  understand the genetic and molecular mechanisms of complex inflammatory skin diseases.  The applicant will be encouraged to identify and drive a theme within our programme, depending on their expertise, development needs, and interest.

An estimated 20–25% of the population is affected by inflammatory skin diseases, the most common of which include eczema, psoriasis and acne. Easing the burden of these diseases warrants attention owing to their high prevalence, visibility, psychosocial impact, need for long-term treatment and associated costs. Inter-individual variability in response and tolerability of existing treatments further adds to the already substantial impact on quality of life and underlines the need for improved knowledge on pathogenic mechanisms to inform novel drug targets for inflammatory skin diseases.

Over the last 10 years our team has led the identification of the genetic variation that contributes to susceptibility and severity of inflammatory skin diseases and the biological mechanisms through which they operate. We have established collaborations across the globe and built a research programme that leverages high throughput, high-resolution sequencing platforms and novel analytical methods.

This role represents a unique opportunity to generate biological insights from our large-scale research datasets including single-cell multiomic sequencing data from skin and blood to enable the identification of the causal mechanisms of disease, the cell-types in which they occur and the identification of therapeutic targets. There are also substantial opportunities to explore the impact of selection and use genetics as a tool to investigate the potential causal relationship between inflammatory skin disease and mental health traits.

This is an exciting new post for a Research Associate (RA) to work on a study funded by the NIHR Programme Development Grants. The study’s focus is to enable delivery of high-quality child-centred care through assessment of complexity and outcomes by health, social care and education providers care for children and young people with life-limiting conditions.

The post holder will be responsible for setting up the study (i.e. obtaining ethical approval) and conducting data review, collection, and evaluation. They will conduct the following tasks:  lead a realist review; recruit for and conduct semi-structured qualitative interviews with children with life-limiting conditions and their parents and health, social care and education professionals; undertake qualitative data analysis; facilitate consensus workshops; support the development of the NIHR Programme Grant application.

Expertise, knowledge, and experience of the health and social care sector, or palliative care services more broadly, are necessary, and qualitative research experience is essential. Enthusiasm in developing a career in palliative  care  or child health research will be beneficial and we are a supportive team that can assist with developing future grants and taking ideas forward.

The researcher appointed will focus on candidate phosphatases that have been validated to regulate actin dynamics during infection with the poxvirus Vaccinia. How do these phosphatases function, what are their key interactors, how do they recognise substrates, how do they impact signalling dynamics and outputs? The broader goal is to contextualise these findings in uninfected cells and, with the help of a collaborator, in other viral infections. The researcher appointed will take advantage of, and further develop, a Vaccinia virus-based signalling platform, as well as cutting-edge molecule counting and optogenetics tools available in the lab. Experience in phosphatase biology, microscopy, cell signalling or biochemistry is desirable but not mandatory.

A PhD in a relevant discipline is required (or applicant to be near completion). A high-quality publication record and effective science communication skills are essential. International applicants are welcome.

Please reach out to Dr. Angika Basant (angika.basant@kcl.ac.uk) for informal discussions. The formal selection process will include an interview, which may be conducted in stages (online or in-person).

This is a full time post, and you will be offered a fixed term contract initially for 3 years. Successful candidate is expected to start before 31st March 2025, but individual circumstances will be considered.

This role is for a qualified and experienced scientist who has been working in an academic or commercial research laboratory/company related to the differentiation of human iPSC into different cell lineages, and the assembly of complex tissue culture models from these cellular elements. The cells used in this experimental system will be genetically modified such that their genotypes mimic genetic variants associated with BD. We will study these circuits by immunocytochemistry, electrophysiology and live cells imaging. The aim of the projects is to approximate cellular phenotypes in an in vitro model of Bipolar Disorder (BD), and attributing abnormal network activity to specific neuronal subtypes and BD-linked genetic mutations. This work will form the basis for future projects aimed at normalizing circuit activity in BD with small molecule compounds or gene therapy.

The purpose of the role is to develop new mathematical models which capture details of the physics and biochemistry of living tissue, and incorporate the rich data generated through cutting-edge cell-imaging techniques. The role holder will be based in the Mathematics department, and work closely with experimentalists based in the Randall Centre for Cell & Molecular Biophysics.

The role holder will be expected to develop mathematical models which incorporate complex data and undertake numerical simulations of the models to generate experimentally testable predictions that have clinical relevance.

The role holder will be expected to display initiative and independence – in developing & implementing the mathematical models, and in relationship building with researchers from different academic disciplines both within King’s and internationally.

The role holder will be expected to communicate their results through publications & presentations to a range of audiences.

Applications are invited for a postdoctoral research position to work on development of methods for image quality assessment in fluorescence microscopy in the Randall Centre for Cell & Molecular Biophysics.

Our lab specialises in development of image quality assessment methods and advanced image processing and analysis for fluorescence microscopy. Fluorescence microscopy is one of the most commonly used methods in cell biology, allowing researchers to specifically localise molecules within living cells. However, there are currently no reliable methods to determine whether an image is of a sufficient quality to support accurate quantitative measurements of biological structures. This can have profound effects on biological studies, as inaccurate measurements can lead to incorrect or misleading biological conclusions.

This project focuses on determining how image acquisition, image processing, image analysis and the underlying biological question intersect to determine image quality. Using the fission yeast S. pombe as a model system, the candidate will benchmark the performance of existing image quality metrics, novel image quality metrics developed in the group, and correlate these metrics with the accuracy of biological measurements in images. There is a particular focus on the role that novel AI image processing and analysis methods can play in the fluorescence microscopy pipeline.

Candidates are welcomed from a range of backgrounds across biology, physics, and computer science. This position can be tailored to focus more heavily on the practicalities of image acquisition and development of real biological benchmarking systems, or on simulation and mathematical exploration of image information content, depending on the candidate’s experience and interests.

The research group of Dr Micaela Matta is seeking to appoint a highly motivated and experienced postdoctoral research associate in computational materials chemistry.

The position is funded by the EPSRC project “Data-driven design of organic mixed conductors”.

Mixed ionic/electronic conducting materials are being developed for applications in bioelectronics, biosensing, energy storage and neuromorphic computing.  However, the lack of general structure-property relationships is a bottleneck for systematic material development. 

In this project, the candidate will conduct a high throughput computational screening of novel organic mixed ionic/electronic conductors leveraging cheminformatics, quantum chemistry, and molecular dynamics simulations. The candidate will work in close collaboration with experimental groups providing validation/testing of novel mixed conducting materials.

The project has a strong emphasis on software development; the candidate will develop and maintain workflows and datasets related to the project according to FAIR principles, supported by Dr Matta and KCL’s E-Research Team.

A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant Next Generation Metamaterials: Exploiting Four Dimensions (META4D)—a collaboration between King’s College London, Imperial College London and University of Exeter.

The research in Photonics & Nanotechnology Group (https://www.kcl.ac.uk/research/photonics-nanotechnology) involves the development and applications of advanced photonic technologies and of novel nanomaterials to address modern challenges in photonic and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading-edge research in optical, mechanical and structural properties of nanostructures and nanoparticles. We combine expertise in nanofabrication, laser science, nonlinear optics, sensing, advanced imaging techniques and numerical modelling. 

We are seeking a highly motivated and talented postdoctoral researcher to join our multidisciplinary team. You will play a crucial role in constructing a custom multiphoton microscopy system equipped with advanced Fast-FLIM detection functionality and temporal focusing. Collaborating closely with biological scientists, you will perform and analyse imaging experiments on 3D cell culture models to explore cellular dynamics and probe the biochemical intricacies of developmental biology.

Building on our established expertise in Fluorescence Lifetime Imaging Microscopy (FLIM), this research project aims to push the boundaries of developmental biology through innovative imaging techniques.

Your responsibilities will include designing and constructing the multiphoton microscopy system, integrating high-powered femtosecond and picosecond laser sources, and utilizing static and dynamic diffractive optical elements for beam shaping and adaptive optics correction. You will assist in designing bespoke optics and incorporate state-of-the-art detector technologies into existing microscope platforms. Collaboration with electronic engineers and leadership of junior researchers are key aspects of the role, as is contributing to internationally competitive research.

Candidates must hold a PhD in Physics and have extensive experience in optical design and microscopy development, with proven expertise in developing bespoke microscopy platforms such as FLIM, confocal, or multiphoton microscopy. Proficiency in using high-powered femtosecond and picosecond laser sources, integrating diffractive optical elements, and adaptive optics is required. Strong programming skills in LabVIEW, Python, MATLAB, or C++ are necessary, along with proficiency in image data processing and analysis. Excellent communication skills are essential, as is the ability to work independently and within an interdisciplinary team. We are looking for someone keen to develop project and team leadership skills and enthusiastic about bridging the physical and life sciences.