593 electrical-machine-design-"https:"-"https:"-"https:"-"https:"-"https:" positions in Netherlands
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modelling results to develop design principles for electrically driven processes; use the obtained insights to guide the design of electrochemical cleaning and separation technologies in close collaboration
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advancement of high-performance eco-friendly electrical steel coatings, driving both academic and industrial progress.
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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the water can be reused or discharged, those excipients must be removed again. That costs a lot of energy, chemicals and money. The new project ECO (Electrically-driven, Chemical-free Operations) therefore
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PhD position on Modelling of turbidity current fluxes in submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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Join an ambitious, multidisciplinary project at the crossroads of interaction and urban design, where your research can shape the vision of open and accessible cities! This position is part of
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socio-technical challenges. Job requirements The ideal candidate should have: A PhD in a design-related field. Candidates with backgrounds in engineering, psychology, human-computer interaction, or social
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project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through
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to make a direct impact on patient care. About your role During machine perfusion, donor livers can be maintained outside the body, creating a unique opportunity to assess organ quality and deliver targeted
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Are you fascinated by application-oriented research in mathematics and eager to work at the interface of numerical optimization, optical design, and uncertainty quantification? In this PhD project