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transformation in bacteria – an important mode of horizontal gene transfer. We use complementary approaches including cryo-EM, biophysical methods and in vivo functional assays to study the protein machineries
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, photolithography, and plasma etching. Advanced optical and electronic methods will be used for device characterization. Job description Synthesis and deposition of perovskite thin films (e.g., thermal co-evaporation
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. FORMAL REQUIREMENTS - PhD degree or equivalent. In your application, please refer to myScience and reference JobID 68248. Where to apply Website https://www.myscience.ch/jobs/id68248
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insights into diverse methods and approaches. The PhD position provides access to state-of-the-art computational power enabling impactful research. The position supports the development of critical thinking
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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computational methods, artificial intelligence (AI), and extended reality (XR). Design++ fosters cross-departmental research, education, and industry collaboration to drive transformative change in the built
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transformation in bacteria – an important mode of horizontal gene transfer. We use complementary approaches including cryo-EM, biophysical methods and in vivo functional assays to study the protein machineries
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the adoption of data science and machine learning methods within these diverse disciplines. Project background At the Swiss Data Science Center we work extensively in the application of machine learning
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the full workflow. Help push technology forward within a rapidly evolving environment. Profile MSc or PhD in Computational Science, Computer Science, or a related field Experience in software development
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100%, Zurich, fixed-term We are seeking for a curious and motivated PhD student to join our bionanophotonics team and work at the interface between nanophotonics and digital holography to advance