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their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in
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1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP
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. Empa is a research institution of the ETH Domain. In our research group, we transfer membrane and encapsulation strategies from academia to industry. Solution-based processes like electrospinning and
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membrane and encapsulation strategies from academia to industry. Solution-based processes like electrospinning and microfluidic wet spinning produce membranes, fibers and particles for applications including
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their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in
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project “DepoIon”, we develop physical vapor deposition (PVD) process control for solid state battery relevant material coatings. Your tasks You will work on basic science topics as well as on applied
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deposition and automated multi-technique characterization. Within the Swiss-Polish innovation project “DepoIon”, we develop physical vapor deposition (PVD) process control for solid state battery relevant
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project interfacing research and industrial needs, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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into practical solutions in close collaboration with our interdisciplinary team and external academic and industry partners. Responsibilities also include supporting master's and PhD students, publishing in peer