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advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research experience in epidemiology and statistics
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other project partners, and to take advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research
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collaboration with Open Targets and BioModels teams. The project Digital Twins are virtual representations of patients that simulate disease progression and treatment response. Rare diseases pose a unique
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at conferences and seminars Stay current with relevant literature Your qualifications: Strong track record of scientific accomplishments is essential Prior hands-on experience in cell culture, biochemical assays
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(CFD) methods. The role focuses on transitioning legacy CFD solvers to modern, Python-based AI frameworks (e.g., PyTorch, JAX), targeting high-efficiency, scalable simulations of water-air systems with
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groundbreaking initiative to target cell surface proteins, which constitute nearly one-third of all coded proteins and are pivotal drug targets. While existing technologies, such as bifunctional degraders, have
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data, leveraging advanced computational models, and applying state-of-the-art genomic technologies. The postdoc will develop new computational approaches to further our mission to identify drug targets
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mechanism and drug targets for neurodegenerative dementias. Rexach Lab, UCLA Neurology, Neurogenetics, Human Genetics. Job Description: Seeking an outstanding applicant with strong research track-record for a
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including in vivo and in vitro modeling, targeted and untargeted metabolomics, and stable isotope tracing to explore the role of mitochondrial transporters and enzyme systems in health and disease. Position
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. About you The post holder will have the following: Essential: Higher academic degree e.g. PhD, or evidence of an equivalent level of attainment in research publications A track record of scholarly