57 assistant-professor-and-data-visualization PhD positions at University of Groningen
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decays of heavy hadrons with high precision. The prospective PhD researcher will take on a leading role in a search for lepton flavour violating decays of b hadrons with data collected by the LHCb
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to: Design, plan and conduct a programme of investigation, in consultation with the three supervisors. Produce a PhD thesis, written in English, consisting of four data chapters, an introduction and discussion
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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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materials, to aid design of novel more energy-efficient processing routes. The development of these digital twins requires reliable and predictive models for microstructure formation during steel processing
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appendages using the (halo)archaea as a model. Studying the infection mechanisms of archaeal viruses can provide insight into the evolutionary history of viruses and help to understand adaptation to extreme
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growing need to help instructors develop critical AI literacy, so they can understand both the opportunities and limitations of these tools. It is also essential to support them in creating inclusive
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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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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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: 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