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for cognitive science and artificial intelligence, including about 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational
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coordinator and 3 PhDs. The postdoc will work in the Netherlands (Groningen) but might spend a brief amount of time in Spain for fieldwork (to collect data). The Postdoc Project You will work individually on
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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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and one PhD student, led by André Niemeijer (UU), Hongyang Cheng (UT) and Tanmaya Mishra (UT). The project is part of the research programme DEEPNL , funded by the Dutch Research Council (NWO
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: simulating carbon reduction potential at parcel level under climate change scenarios across Europe; design and implement geospatial hybrid and mechanistic modelling frameworks using process-informed machine
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the PI and an existing team composed of 1 Research coordinator and 3 PhDs. The postdoc will work in the Netherlands (Groningen) but might spend a brief amount of time in Spain for fieldwork (to collect
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, and biodiversity loss. Our group works across diverse disciplines and scholarly fields and draws on critical, historical, participatory, design-oriented, and arts-based methods and approaches. We work
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approaches, such as longitudinal survey research, (automated) content analysis, and experiments. You will work closely with the PI, members of the Strategic Communication group, and another PhD student who is
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involved in the innovation and application of methodologies and technologies in the following fields: model-based engineering; modelling and simulation; visualisation by means of augmented reality, virtual
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who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial transcriptomics, whole genome sequencing, proteomics, organoid modelling