32 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" Fellowship positions at Nature Careers in United Kingdom
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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and deploy the most promising prototypes at multiple field sites around the world via our global collaborator network. An important part of the work will be publishing high quality research papers in
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. Multiple translational clinical studies seek to address these themes through our collaborators in the Royal Marsden. Overall, our mission is to cure more patients with fewer immediate and long-term side
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes in RA
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Maths or Statistics, or related subjects. You must be proficient in brain imaging, biosignal processing (preferably EEG), and programming in MATLAB, Phython or similar. You must also demonstrate your
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recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery experts and scientists from
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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource
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programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource