49 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" "Dr" positions at Imperial College London
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’ awarded to Dr Barry (PI). In this role, you will lead the identification and characterisation of active hydrolytic enzymes in colorectal cancer samples using cutting-edge proteomics and activity-based
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contract to start ASAP until 31/12/2027. In addition to completing the online application, please attach: A full CV A personal statement For informal enquiries related to the position contact Dr Jeremy Cohen
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-harnessing capabilities. The successful candidate will work within the Elani Bioinspired Engineering Group under the supervision of Dr. Yuval Elani . The project aim is to engineer artificial cells that can
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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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to develop a model of health and healthcare provision (see www.tlomodel.org ). The post holder will lead the model analyses that address the three questions outlined above, including, model development, coding
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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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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