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Crosslinking/Engineering, Electrospinning, Materials/Polymer Science/Technology and/or Polymer Processing Proficiency (written and oral) in both English (CEFR C1) and German (at least basic level) Scientific
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in Chemical Crosslinking/Engineering, Electrospinning, Materials/Polymer Science/Technology and/or Polymer Processing Proficiency (written and oral) in both English (CEFR C1) and German (at least basic
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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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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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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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. The aim of the project is to extend cycle life by the controlled release of active lithium. Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop
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. Postdoc position on self-healing strategies for lithium-ion batteries Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop electrochemical protocols
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The candidate should have a PhD degree in Microbiology, Biotechnology, Biomedical Engineering, Materials Science, or a related discipline, with expertise relevant to antimicrobial materials and invitro testing
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, Python, or C++ is required. A strong interest in numerical modelling, sound, signal processing and programming is expected. Additionally, very good command of German and English as well as experience with