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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 generative models for energy-system data
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Primary Supervisor: Dr. Dennis Fitzpatrick Cardiovascular disease remains a major global health challenge and continues to drive innovation in medical technology. Cardiovascular devices form an important part of a large international medical-device industry, creating substantial demand for new...
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24.09.2026, Academic staff Advancing Stable Isotope Analysis to Study the Mechanism of Heterogeneous Photocatalytic Systems with Kinetic Isotope Effect Measurements The Chair of Analytical Chemistry and Water Chemistry at the Technical University of Munich (TUM) is committed to excellence in...
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advanced power-electronic devices and converters. We are recruiting two PhD researchers who will work as a closely connected team. One position focuses on creating wideband current-sensing technology; the
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21 Aug 2026 Job Information Organisation/Company REQUIMTE - Rede de Quimica e Tecnologia Research Field Chemistry » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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21 Sep 2026 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences Researcher Profile First Stage
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lacking. This PhD project explores the enablers and barriers to effective coaching in clinical workplaces and investigates how effective coaching practices can be implemented in health professions education
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | 3 days ago
has an open call for multiple fully funded PhD student positions. Deadline for submission of your application is December 8th 2026! Five Max Planck Institutes (Dresden, Hamburg, Halle and Stuttgart
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences