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Field
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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research Behavioural competencies Education You must have completed and obtained your PhD before starting the Research Fellowship. Applications submitted by candidates within five years of receiving
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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a regenerative food system in the Netherlands? Are you interested in being embedded in an interdisciplinary research team? Do you have a PhD degree and skills set that puts you in a good position to
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://www.academictransfer.com/en/jobs/354427/postdoc-prospective-breast-canc… Requirements Specific Requirements You should be a creative and enthusiastic researcher with a PhD in epidemiology, biomedical sciences, technical
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candidate with: A PhD in ecology, environmental engineering, physical geography, or a related field; Strong experience in field-based environmental research, ideally in coastal or estuarine systems; Skills in
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complex problems using innovative methods. You enjoy working with a diverse and international team and actively contribute to the success of the project. Moreover you have: A PhD in life sciences
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analyses to explore potential pathways for behavior change and identify key factors that influence success. Applying machine learning, statistical techniques, and AI to analyze data, predict events, and
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. Candidates should hold a PhD in human geography, urban and regional planning, urban studies, environmental planning and management, or a closely related field. Preference will be given to participants with
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, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.