77 building-physics-"https:"-"https:"-"https:"-"https:"-"https:"-";" ";" PhD positions
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<span lang="en">International Max Planck Research School for Chemistry and Physics of Quantum Materials</span> | Dresden, Sachsen | Germany | about 10 hours ago
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Position Description The Tsung-Dao Lee Institute (TDLI) ( https://tdli.sjtu.edu.cn ) and Department of Astronomy ( https://astro.sjtu.edu.cn/en/ ) of Shanghai Jiao Tong University invite applications
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dates can be entertained, if appropriate. SCEECS is a multi-national, collaboration that focuses on the theory of neutron stars and black holes, building on recent astrophysical discoveries and upcoming
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in accordance with established standards (e.g., BIDS) Your Profile Excellent university degree (Master) in neuroscience, biomedical engineering, medical physics, psychology, cognitive science
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Your Job This position focuses on building, operating, and testing superconducting quantum devices. Your tasks in detail are: Design and fabrication of superconducting quantum circuits Setting up
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understanding of the dissolution process of the solid particles in the liquid. This will be carried out using an imaging technique that able to track the dissolution process online. Then building a model
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condensed matter physics, building on world‐class research activities in quantum materials at the three institutions. PhD positions at the International Max Planck Research School for Chemistry and Physics
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Quantify and formalize uncertainty estimates to support reliable deployment in real-world building management systems For further information on the project you can contact your future superior: https
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
Intelligence This project develops an AI-informed, community-grounded framework to understand and mitigate antimicrobial resistance (AMR) risks within a planetary health context. Building on the risk
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the