327 electric-machine-"https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in Netherlands
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Can electricity replace acids
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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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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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/363551/phd-physics-informed-machine-le… Requirements Additional Information Website for additional job details https://www.academictransfer.com/363551/ Work Location(s) Number of offers available1Company
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applied research in the domains of food and biobased materials. Where to apply Website https://www.academictransfer.com/en/jobs/364061/machine-learningai-researcher-a… Requirements Specific Requirements You
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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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. While this general knowledge is now firmly established, the processes of transport and burial during turbidity current events remain poorly understood. The DEEP-FLUX project aims to establish a new
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supervised by Mykola Pechenizkiy, Cassio de Campos and Clemens Dubslaff. Where to apply Website https://www.academictransfer.com/en/jobs/362817/phd-in-resilient-machine-learni… Requirements Specific
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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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under global change requires accurate and consistent soil information at global scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes