110 parallel-computing-numerical-methods PhD positions at University of Groningen in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Organisation Job description The Center for Language and Cognition Groningen is seeking a motivated PhD candidate in the fields of linguistics, computational linguistics, language acquisition, and
-
PhD position Modeling modals: A computational study of modal verb acquisition (V25.0196) « Back to the overview Job description The Center for Language and Cognition Groningen is seeking a motivated
-
materials. Another major challenge is enabling motors to function in aqueous media, which opens up numerous opportunities for integrating motors with biological systems, i.e. to design responsive biohybrid
-
methods in psychopathology. The positions are located in the Department of Theoretical Philosophy ( https://www.rug.nl/filosofie/organization/departments/theoretical/ ) but there are strong ties with
-
of the Dutch NWA consortium “PRELIFE”, https://www.originscenter.nl/prelife/ The origin of life remains one of science’s most profound and enduring mysteries. Despite numerous theories, no single explanation has
-
sources. Such modelling provides essential tools for designing low-carbon, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies
-
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
-
, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies that balance energy supply and demand, improve electricity grid flexibility, and
-
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
-
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