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6 Aug 2026 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 28 Aug 2026 - 23:59
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and large models, limiting real-world deployment. This PhD focuses on efficient Physical AI, emphasising data-efficient training, reinforcement learning, continual adaptation and edge deployment
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Researcher (R1) Positions PhD Positions Application Deadline 6 Dec 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Other Type of Contract Extra Information Scholarship under Doctoral School Job
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multiscale simulations and AI predict how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive surface functionalization and derive
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Aug 2026 - 23:59 (Europe/Andorra) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week
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-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical
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the exploration of techniques based on physics-informed neural networks and transfer learning. The PhD candidates will have the opportunity to be affiliated with the program BRU21 , with the IoT@NTNU, and with
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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Principal Investigator: Maciej Behnke, PhD, DSc Scholarship amount: PLN 3,000 per month Planned duration: 36 months, starting 1 September 2026 Where to apply E-mail [email protected] Requirements Research
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this PhD project, you will develop responsive MOF-peptide coatings for adaptive protection and follow their chemistry in real time. You will combine porous-material synthesis, thin-film preparation and in