162 parallel-computing-numerical-methods positions at University of Groningen in Netherlands
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Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic modelling of materials and machine learning. Experience in atomistic modelling (molecular
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Engineering (FSE) contributes to this mission by training skilled professionals through our new EngD programme in Sustainable Process Design. This 2-year post-master design programme, closely collaborating with
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criminalisation of homelessness in other nations. The PhD researcher will be expected to employ doctrinal legal research methods as well as conduct a comparative analysis between jurisdictions. Depending
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researcher will be expected to employ doctrinal legal research methods as well as conduct a comparative analysis between jurisdictions. Depending on the project’s development and feasibility considerations
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
contributing to global discussions. The candidate will develop strong research skills, with particular focus on participatory methods, and approaches grounded in cultural heritage and critical studies. The PhD
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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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. These analyses should consider multiple scenarios with inherent uncertainty regarding materials, impacts, and use cases. The standard life-cycle assessment (LCA) method may not suffice for such analyses
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-year PhD program, you will join a collaborative research team applying cutting-edge methods from Experimental/Behavioral Economics alongside modern macroeconomic modelling techniques (e.g. DSGE). You'll
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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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for realizing challenging asymmetric catalytic methods. This network brings together academic research groups with expertise in experimental catalyst development and theoretical groups skilled in computational