35 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "St" positions at Empa
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. Empa is a research institution of the ETH Domain. Our Laboratory for Advanced Fibers in St. Gallen develops functional polymer fibers for medical and technical applications. Together with partners
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We provide an international and stimulating research environment with excellent infrastructure for personal and professional development. This PhD project will be carried out at Empa St. Gallen under
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Laboratory is located in St. Gallen at the Swiss Federal Laboratories for Materials Science and Technology (Empa). Our team is highly interdisciplinary and international, providing an inspiring environment
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postdoctoral researcher who is eager to contribute to the translation of fundamental research into clinically relevant antimicrobial solutions. Our offer The Biointerfaces Laboratory is located in St. Gallen
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excellent opportunities to establish connections in the local industry. The work will be carried out at Empa St. Gallen under supervision by Dr. Gordon Herwig and Prof. René Rossi. The position is temporary
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affiliated with the Department of Environmental Sciences (D-USYS). The candidate will perform the research at Empa in St. Gallen. The starting date is upon mutual Agreement. This project is performed in close
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the potential extension by one additional year) at Empa St. Gallen in the Bio-Nano Assembly research group, which is part of the Center for X-ray Analytics, the Laboratory for Biomimetic Membranes and Textiles
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Science, Computer Science, or a related disciplines. The candidates should have: A solid theoretical background in their field Strong programming skills and experience with numerical methods. Proven
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV
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transport modelling, and data science. Solid programming skills (ideally Python) and experience with data analysis. Self-motivation and curiosity to learn and grow independently. Strong communication skills