104 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Imperial College London
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will work alongside academics specializing in engineering and social sciences and practitioners who are developing and implementing cutting-edge methodologies. 1. A PhD in Electrical Engineering or a
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PhD degree (or equivalent research, industrial or commercial experience) in Electrical and Electronic Engineering, Computer Science or a closely related discipline. You must also meet the following
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benefit we can offer is the option for to complete a PhD in the 36-months, if you wish. The opportunity to continue your career at a world-leading institution and be part of our mission to continue science
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, statistics, sleep medicine, and artificial intelligence, for example. A very significant and specific benefit we can offer is the option for to complete a PhD in the 36-months, if you wish . The opportunity
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, to share data, tools and methods with relevant stakeholders and engage with those working on ethics and governance projects. You should have a PhD in eukaryotic synthetic biology (or equivalent
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committees Full information on duties, responsibilities and criteria can be found in the Job Description. Essential requirements A PhD (or equivalent) in Life Sciences or a related discipline. A proven track
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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed
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team comprised of Dr David Labonte (PI), and PhD students from different disciplines, working on different aspects of this project at the Department of Bioengineering , Imperial College London. David's
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their PhD will initially be appointed as Research Assistant. If you require any further details on the role please contact: Dr Louise Walport – l.walport@imperial.ac.uk . The Department of Chemistry proudly
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We are recruiting a postdoctoral research scientist to lead virus evolution and bioinformatic data analysis for our program on wastewater surveillance for pandemic pathogens. The world has never