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federated learning infrastructure and develop multimodal machine learning methods to predict connections between mass spectra, biosynthetic gene clusters, molecular structures, and biological activities, in
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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, define whether user attention and preference is linked to creativity, and gather data on how errors affect user attention. You will use a mixed method approach to analyse the impact that technology has
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) laboratory of the Department of Radiology and Nuclear Medicine at Radboudumc works closely with breast screening radiologists and industry to develop new and improve existing methods and processes in screening
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In this Postdoc you will investigate methods for risk-aware navigation among decision-making agents, using learning and optimization, and apply them to self-driving cars and teams for quadrotors
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related to learning, behavior, and interactions between humans and systems using advanced quantitative methods. You will be part of a team developing and testing VR simulations. You will perform and conduct
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at the department combines multiple methods including corpus and computational linguistics, psycho- and neuro-linguistics, machine learning, AI and virtual reality, and is concerned with various populations ranging
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at the department combines multiple methods including corpus and computational linguistics, psycho- and neuro-linguistics, machine learning, AI and virtual reality, and is concerned with various populations ranging
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combine profound expertise on political, environmental, and science communication with state-of-the-art methods skills. Where to apply Website https://www.academictransfer.com/en/jobs/354622/postdoc
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to creativity in AVT in different translation modalities, define whether user attention and preference is linked to creativity, and gather data on how errors affect user attention. You will use a mixed method