599 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United Kingdom
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Glaucoma UK Project Grant in the Department of Eye and Vision Science at the University of Liverpool. You will join the research groups of Dr Lucy Bosworth (biomaterials and tissue engineering), Dr Carl
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
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Europe Programme, the EU’s primary funding program for research and innovation. The synthesis centre hosts collaborative interdisciplinary working groups from outside institutions, along with a team of new
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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. publish internationally and give lectures. apply for projects and raise third-party funds. teach courses in the master's programme "Philosophy and Economics" (within the scope of the provisions
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, and you will join the research group led by Prof. Christa Cuchiero to work at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of
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will have or be close to the completion of a PhD in Neuroscience, Psychology or a closely related discipline. With in-depth knowledge of cognitive and computational neuroscience including motivation
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on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies possess a relevant PhD (or nearing completion
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disciplines may be eligible if they can demonstrate exceptional problem-solving skills and deep expertise computational model development. Candidates who have not yet acquired their PhD would be appointed