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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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knowledge institutions in its domain. The integral approach to challenges and the collaboration across various disciplines form the core of the unique Wageningen approach. Read the 5 reasons why your future
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engineering challenges, and are motivated by contributing to the advancement of scientific knowledge. Furthermore, you bring multiple of the following qualifications: Scientific and Technical Competence You
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disciplines. For details please see the programme information for the Philipp Franz von Siebold Award. Programme information (PDF, 119 KB) List of award winners The sponsorship The award amount is €80,000
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 2 days ago
and on the application of knowledge. It is characterised by the classic features of a technical university. The BTU research profile comprises four key areas: Global Change and Transformation Processes
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Learning Agreement is completely filled in and signed, dated and stamped where necessary! Language skills Your knowledge of Dutch and English. Please consult the language requirements in order to prepare the
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Competencies Expert knowledge of microfluidic device design and fabrication methods compatible with automated device manufacturing, particularly in polymer materials. Advanced knowledge in the microfluidic
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, research and education. The department is building a team who will collaborate to leverage state-of-the-art emerging technologies and apply new knowledge to meet the clinical needs of patients, while leading
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and