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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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of developing simulators for Post-Von Neumann architectures. The candidate would become a member of the Innovative Computer Architecture group and become part of the CogniGron research centre as well as the NL
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technologies and manufacture processes with emphasis on mechanical and materials engineering. For more information about the APE group please use the following link: www.rug.nl/research/ape. Qualifications
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12 Sep 2025 Job Information Organisation/Company University of Groningen Research Field Physics » Biophysics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline
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25 Sep 2025 Job Information Organisation/Company University of Groningen Research Field History » Medieval history History » Modern history Researcher Profile First Stage Researcher (R1) Country
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, current policies and programs have struggled to achieve their goals. Top-down, market-driven approaches, which rely on financial incentives and standard information dissemination, often fail to engage
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. Diplomas (BSc and Msc) and transcript of records. Contact information of two academic references. You may apply for this position until 15 October 11:59pm / before 16 October 2025 Dutch local time (CET) by
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of annual leave. We aim at a starting date of 1 November 2025 For more detailed information about working conditions and working for the University of Groningen, please check: www.rug.nl/about-us/work-with-us
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MA thesis in the English language). Contact information of two academic referees. You may apply for this position until 12 October 11:59pm / before 13 October 2025 Dutch local time (CET) by means
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a PhD candidate in Effective and inclusive citizen engagement in the local heat transition, you will have the opportunity to develop your own insights, collect data, and share your findings with both