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Field
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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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with future developments in the industrial ecology field What you bring This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields
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://www.academictransfer.com/en/jobs/355257/postdoctoral-researcher-in-mach… Requirements Specific Requirements The candidate should: Hold a PhD in neuroscience, cognitive neuroscience, computer science, psychology, biomedical
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diversity (with a strong emphasis on belowground traits), soil biodiversity, and ecosystem functioning in temperate grasslands. In addition, you will design and implement a factorial experiment testing the
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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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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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, design-oriented, and arts-based methods and approaches. We work in different domains such as science and innovation policy, higher education, and environmental governance and we collaborate closely with
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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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-optimization… Requirements Specific Requirements PhD in Electrical Engineering, Applied Physics, Operations Research, Computer Science, or a related discipline, with a focus on quantum algorithms. Knowledge