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generative models produce data that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained
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Vacancies PhD Position: CO2 Desublimation for Cryogenic Carbon Capture To vacancy overview Apply now ET PhD PhD Position: CO2 Desublimation for Cryogenic Carbon Capture Investigate how CO2 turns from
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electrical engineering, computer science or a closely related field. A solid foundation in computer vision, pattern recognition, AI-related techniques. Hands-on interest in designing methods using
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Vacancies PhD position "Synthetic Active Matter: Unravelling 3D Real-Space Dynamics" To vacancy overview Apply now TNW PhD PhD position "Synthetic Active Matter: Unravelling 3D Real-Space Dynamics
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PhD position in a novel cell secretome-based therapeutics for osteoarthritis Faculty: Faculty of Veterinary Medicine Department: Department Biomolecular Health Sciences Hours per week: 36 to 40
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monitored submarine canyons. The responsibility of the PhD position advertised here will mainly involve the development of the computer model for flux quantifications, and the validation of the model
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researcher with a strong technical background and an interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science
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to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space policy or space law may also be considered relevant if your research included
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
-Design). Your profile PhD in a relevant field (ethics, philosophy of science, philosophy of science in practice, science and technology studies, ethics of AI, or related domains such as computer
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submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace