89 parallel-computing-numerical-methods positions at University of Groningen in Netherlands
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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of numerical, empirical, and theoretical techniques, with a special focus on decarbonization of the industry and energy sector in the EU and The Netherlands. The PhD position is embedded in the Centre
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neurosymbolic AI to extract information from unstructured text. Use NLP methods for modelling narrative text. The focus on each of these tasks can vary based on the expertise of the applicant. The University
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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-for-Good, the municipality of Emmen, NOM, InvestNL, and other academic and regional stakeholders. The PhD position will be embedded within the research programme Global Economics & Management at the Faculty
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-targeted properties. This includes development of polymerization methods, formulation of coatings and their testing. In additional to the academic advisor, the PD candidate will be in close collaboration
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of “the countryside” for both urban and rural residents. The PhD position is part of the NWO-funded research programme Fertile Soils, which conducts inter- and trans-disciplinary research into making relationships
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quantitative research methods and will be conducted in close collaboration with hospitals and partners in the North of the Netherlands as part of the Care2Change consortium. Your tasks as a PhD candidate are
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The University of Groningen is committed to strengthening the Northern
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21 Aug 2025 Job Information Organisation/Company University of Groningen Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage Researcher (R1