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Your Job Develop a reinforcement learning (RL) controller for a liquid–liquid gravity settler, trained entirely offline in a simulated environment Use existing physics-informed neural network (PINN
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The Department of Physics at Umeå University ( https://www.umu.se/en/department-of-physics/ ) conducts strong research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy
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DTU Physics invites applications for a position as Full Professor in Quantum Technology based on ...
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content DTU Physics invites applications for a position as Full
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PhD Stipend in Intelligent Industrial Energy Systems, Physics-informed AI, digital twins and advanced control Apply Vacant position PhD Stipend in Intelligent Industrial Energy Systems, Physics
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Phd/doctoral Warsaw, Poland Apply Center for Theoretical Physics, Polish Academy of Sciences, Warsaw, Poland al Lotników 32/46 02-668 Warsaw Poland The address could not be found. We are looking for
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<span lang="en">Heidelberg University, Heidelberg University Hospital</span> | Heidelberg, Baden-Württemberg | Germany | 17 days ago
Grant, our interdisciplinary team investigates the biological mechanisms underlying post-traumatic stress disorder (PTSD). By combining cutting-edge single-nuclei transcriptomics, epigenomics, human
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Post-doctoral fellow in AI-based design of de novo protein biofilm systems Login and apply Lunds universitet Lund University was founded in 1666 and is repeatedly ranked among the world’s top
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Apply online now : https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29229 PhD Position Single-Cell Genomics in Post-Traumatic Stress Disorder (m/f/d) Stellenanzeige
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The Department of Physics is located in the AlbaNova University Center and has approximately 230 employees, 250 students at undergraduate level and 80 graduate students. There are four research
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part of a world leading research environment and contribute to the development for the next generation machine learning tools for power systems. One PhD student will focus on physics-informed neural