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requirements You hold an MSc degree in Electrical Engineering (must-have). You have a strong interest and demonstarted interest in analog integrated circuit design Hands-on experience in circuit design, gained
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sectors. Process driven research activities are performed in the field of chemical and biochemical systems, mechanical and electric systems and system networks. Typical product sectors include biobased
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other inside a tissue. In this project, you will build interpretable-by-design machine learning models for biological data that offer biological insights in a direct way. Such models will be applicable
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visit our webpages: About Quantum Circuits, Architecture, and Technology (QCAT) section About Quantum and Computer Engineering (QCE) department Job requirements You hold an MSc degree in Electrical
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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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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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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