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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty
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candidate will work on an interdisciplinary Human Frontier Science Programme grant to unravel the functional ecology of heterotrophic protists, combining behavioural assays, ultrastructural and morphological
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years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a
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meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
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components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science
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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics