12 machine-learning-phd-in-denmark Postdoctoral positions at Utrecht University in Netherlands
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Postdoc in modelling Greenland and Himalaya precipitation using machine learning Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 26
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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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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, such as R, Python, or Machine Learning, to identify patterns in biological factors, disease and mortality; co-supervising and mentoring PhD candidates, MSc and BSc students; collaborating with national and
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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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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software Writing reports and research articles where you will be co-author. Your qualities You hold a PhD (or are close to submission, or have recently submitted) in statistics, data science, or a related
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for the participation in multiple international conferences and interaction on site with project partners. Your qualities The ideal candidate: holds a PhD in a topic related to energy science, geoinformatics
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, while working in an ambitious, motivated, and multi-disciplinary team of veterinarians, clinicians, material scientists, biologists, and engineers. You will also participate in the co-supervision of PhD
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interventions. Your qualities This position may be the right fit for you, if you: have a PhD in Museology, Heritage Studies, History or a related discipline; have experience with public engagement and curation