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modelling (FE) of externally bonded reinforcements and concrete. If possible, experience in programming (python, MatLab). Experience in scientific writing with proven track record. Very good English, German
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other exciting projects ranging from autonomous sputter deposition to the development of new ferroelectric materials for non-volatile memory applications. Your profile PhD degree in physics, materials
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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the research, development, and application of systems for pathogen genome data curation, analysis, and sharing. You will join the Epidemiology & Virus Evolution (EVE) group at Swiss TPH, working alongside
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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• Percentage: 80-100% • Location: Allschwil, Switzerland • Travel required: Possibly at the beginning of the project (10-20%) • Internal job title: Postdoctoral Scientific Collaborator Application Please submit
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset
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society, computational social science, and psychology. We invite applications for a full-time postdoctoral researcher to join the interdisciplinary SNSF-funded research project "Digital Originals in 3D
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Please submit the following documents with your nomination: Application form with details of the nominees and the nominator A title (max. 150 characters) and a brief summary of the achievement (max