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Are you a researcher looking for your first challenge? Are you passionate about making computers faster and more reliable? Do you have experience in machine learning applications for software
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viral (AAV) vectors. We propose to compare the capabilities of this instrument with that of commercially available mass spectrometry platforms and other methods. As part of this exciting and truly
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Are you a software engineer who wants to make a real-world impact? Join the MRC Integrative Epidemiology Unit (IEU) at the University of Bristol and become a critical force in solving major public
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appropriate training and professional growth. About the role We are delighted to invite applications for a PhD training fellowship at the Cicely Saunders Institute, King’s College London as part of an NIHR
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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to industrial partners and members of NBIC both in the form of formal written reports and oral presentation; (v) support NBIC training activities and the supervision of postgraduate researchers and visitors
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, genomic, imaging and digital pathology data for colorectal and other cancers. You'll collaborate with cloud and software engineering teams and the e-health hub team to implement OMOP/OHDSI-compliant
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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technical planning and delivery. Lead the development of hardware-software integration workflows for monitoring, diagnostics, and control of battery systems. Produce high-impact research outputs (journal
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and creativity to identify areas for research, develop research methods and extend their research portfolio within the thematic area of slavery in war. Candidates should have a PhD in a relevant field