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qualifications with a PhD in physics, electrical engineering, materials science or a related subject, and a background in magnetic thin films, nanostructures and spintronics. You should be motivated, proactive and
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(e.g., deep learning, explainable and physics-informed AI, large language models, etc.). The position will be developed within the funded project entitled “UrbanTwin: An urban digital twin for climate
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and validate the equipment. Your profile PhD in Materials Science, Mechanical Engineering, or Experimental Physics Experience in determining mechanical properties at surfaces Experience in surface
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experience of Python, VASP, PySCF, classical mechanics, scientific IT and data handling Experience in neural network architectures, bayesian optimization, random forest, kernel models, or gaussian process
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to process this data, with a focus on optical flow and object detection. You will interpret the results to better understand landslide mechanisms. You will also contribute to the maintenance and upkeep
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making new insights into landslide processes. You will develop advanced algorithms to process this data, with a focus on optical flow and object detection. You will interpret the results to better
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enjoy working across different scientific fields. You love the scientific process and are excited to apply your skills to explore microbial ecosystems in food production. You have experience with
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100%, Zurich, fixed-term The Frazzoli group at the Institute for Dynamic Systems and Control, Department of Mechanical and Process Engineering (D-MAVT) is looking for a postdoctoral researcher to
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Analyzing experimental data and optimizing protocols This position is full-time, with flexible starting dates in 2025. Profile A PhD degree in physics or relevant fields Prior experience in experimental
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for long-term knowhow transfer Publish the results in peer-reviewed journals and present at international conferences Your profile You should have a PhD in physics, photonics or a related field, with a