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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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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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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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The newly-established “Quantum Opto-Electronics” research group of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is looking
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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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material processing and physical/chemical analyses Publishing high-quality scientific papers Undertaking a three-month research visit at our partner institute in Hanoi, Vietnam (Research Institute of Forest
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-quality scientific publications Supervision of undergraduate and PhD students Contribution to proposal writing Your profile PhD degree in Material science, Physics, Chemistry, Electrical engineering or
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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