22 phd-position-in-data-modeling PhD scholarships at University of Groningen in Netherlands
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the PRELIFE program we offer 15 exciting research projects which can be found at http://www.prelife.originscenter.nl of which the research project of the current PhD position is one. This project aims
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and spoken English. - Strong analytical skills. - Willingness to acquire a variety of additional skills ranging from physics modelling and statistical data analysis to hardware programming. PhD
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spoken English. Strong analytical skills. Willingness to acquire a variety of additional skills ranging from physics modelling and statistical data analysis to hardware programming. PhD researchers
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English and meets the university’s English language requirements (https://www.rug.nl/education/phd-programmes/prospective/phd-positions/e… ). - Affinity with and knowledge of basics of AI-modelling and data
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://www.rug.nl/education/phd-programmes/prospective/phd-positions/english-language-requirements?lang=en ). Affinity with and knowledge of basics of AI-modelling and data analysis is welcome but not required. We
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flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will
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challenges holding back an even wider usage. This PhD position is part of the national NanoMedNL consortium that aims to counter these challenges and thereby accelerate and support the development of novel
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Organisation Job description We are seeking a candidate for a fully funded PhD position for the project DeCODA-LM – funded through the stimuleringsbeurs scheme of the Faculty of Arts. The project
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create