251 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" Fellowship positions in United Kingdom
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for information about how to apply: https://cscuk.fcdo.gov.uk/scholarships-filter-search/ This funding is available to students undertaking the following types of study: Postgraduate taught Postgraduate
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. You will need excellent programming skills (e.g. Python, MATLAB), and a solid understanding of grid codes, standards, and flexibility modelling. Strong communication skills, the ability to work both
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listening or immersive media Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical & creative disciplines Strong programming skills, Python
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with applications to real clinical data. The project involves close collaboration with partners at City St. George’s, University of London, University of Cambridge and University College London. We believe
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the world’s fastest supercomputers. Two of our project partners, the University of Tennessee and Valencia Polytechnic University, will support you in integrating these codes into three widely used HPC libraries
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with applications to real clinical data. The project involves close collaboration with partners at City St. George’s, University of London, University of Cambridge and University College London. We believe
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will work closely with academic and NHS collaborators including Guy’s and St Thomas’ NHS Trust and the ICR Clinical Trials and Statistics Unit. About The Role The role is ideal for a doctor aiming to
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, developing upscaling techniques to build continuum models for biofilm mechanics, running code to simulate biofilms using continuum methods, and interfacing with other team members and experimental
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PDF and must be made online using the following link: https://app.casc.cam.ac.uk/fas_live/clhscience/ Letter of application: Please provide a 1-page cover letter for your application that includes your
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and qualitative coding of data sources for analysis. Writing up of findings for contribution to academic publication. Collaborative work across the University of Nottingham and with international