57 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Imperial College London
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the role, please contact Dr Tya Asgari (s.asgari@imperial.ac.uk ). We recognise that AI tools may support your application; however, we are most interested in hearing your own experiences and
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any further details about the role, please contact: Dr Lina Aimola l.aimola@imperial.ac.uk Attached documents are available under links. Clicking a document link will initialize its download.
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, please contact: Dr Melody Ni – z.ni@imperial.ac.uk Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned
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tools, reproducible code and high-quality publications Presenting findings to Imperial, Oxford and GSK stakeholders and contributing to collaborative project planning Secondments at GSK to test models
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further details about the role, please contact: Dr Johanna Feary j.feary@imperial.ac.uk Attached documents are available under links. Clicking a document link will initialize its download.
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Excellent coding skills Preferably a familiarity with machine learning and deep learning models, as well as a familiarity with cardiology. Ability to work well in a team, and coordinate team research Ability
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molecular and systems-biology models Delivering open-source tools, reproducible code and high-quality publications Presenting findings to Imperial, Oxford and GSK stakeholders and contributing