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Field
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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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well as a wise use of machine learning methods. The candidate should hold an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly embedded in a physics
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network HTA, a collaboration between the National Health Care
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infrastructure Job description We are looking for an enthusiastic and talented PhD student to join the NWO-VIDI project 'Not-Just-Water' to investigate the impact of extreme water events on (infra)structure
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PhD Position in Generative AI in Health Technology Assessment (HTA) Faculty: Faculty of Science Department: Department of Pharmaceutical Sciences Hours per week: 36 to 40 Application deadline
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Research Framework Programme? Not funded by a EU programme Reference Number 7050 / 2026 / 9680 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your
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If you are eager to perform cutting-edge molecular modeling to accelerate the development of green and low-carbon hydrogen technologies, then this is position is for you. Job description You will
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vacancy or the selection procedure, please contact Andrei Anisimov, via Where to apply Website https://www.academictransfer.com/en/jobs/363402/phd-position-in-cryogenic-and-d… Requirements Additional
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an unnecessary discarding of generated power. This four year’s PhD position is aimed at using captured CO2 from point sources and hydrogen from water electrolysis to generate carbon-based base chemicals and fuels