2,112 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" PhD positions
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 18 hours ago
condensed matter physics. We are looking for highly talented and motivated students from all around the world to join our affiliated research groups. Multiple PhD positions will be awarded on a competitive
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-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics, and materials science. In this PhD project, you will: Develop an experimental platform to study 3D self
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leading national and international experts, and are dedicated to the training and professional development of early-career scientists. Project Description AMP-activated protein kinase (AMPK) is a central
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participation in cultural and social contexts Psychological perspectives on education, recovery, and human development Organizational learning, innovation, and transformative change Furthermore, The PhD fellow
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the future of sustainable materials? We are looking for a dedicated PhD student to develop techniques to recover clean secondary materials from post-consumer wood that is highly polluted with preservatives. In
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to develop decision-support tools for AI adoption; A 4-year fully funded position, plus benefits, training, and career development opportunities; Supervised by experienced scholars, embedded in the HBE section
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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain
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: Characterization of realistic inflow environments and their impact on turbine performance Assessment of clearance effects on loads and efficiency near the sea surface and seabed Development and use of multi-fidelity
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and to develop new methods and concepts. PLEASE NOTE: The applications will be reviewed as soon as they