28 proof-checking-postdoc-computer-science-logic Postdoctoral positions at University of Groningen in Netherlands
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Postdoc Perceived rural accessibility and the influence of spatial scale (V25.0227) « Back to the overview Job description The Faculty of Spatial Sciences is looking to appoint a postdoctoral
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The Faculty of Spatial Sciences is looking to appoint a postdoctoral researcher on the topic of perceived rural accessibility. Previous research within the Transport Geography research group shows
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available at the Advanced Production Engineering (APE) research group, Engineering and Technology Institute Groningen (ENTEG), Faculty of Science and Engineering. For more information about the APE group
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Postdoc in energy systems modelling and optimization (V25.0156) « Back to the overview Job description Are you passionate about shaping the future of energy? We're looking for an energetic
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for this position will have the following qualifications/qualities A PhD degree in either machine learning or computational molecular sciences. Advanced knowledge in molecular machine learning. Advanced knowledge in
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is based at the Faculty of Economics and Business at the University of Groningen, the Netherlands. You'll be situated within the Department of Operations, affiliated with the Energy Transition and
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PhD degree in either machine learning or computational molecular sciences. Advanced knowledge in molecular machine learning. Advanced knowledge in computational chemistry. Advanced programming skills
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Diabetes2Care a consortium around Diavantis B.V. has set of to develop an app that enables people with type 2 diabetes to take control and more responsibility for their own health. The Discret Technology and
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of obstructive respiratory events during sleep can be used personalized event-driven intervention and therapy efficiency monitoring. Within this interdisciplinary project, the Discrete Technology and Production
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modelling. experience with computational methods in social sciences. experience with spatial and regional data. experience with handling large datasets. experience with the use of social survey microdata