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active sites), in vitro and in vivo enzyme screenings, electrochemistry, and machine learning-assisted directed evolution. As part of this project, you will collaborate closely with PhD students and
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young researchers from around the world? Do you bring a precise, well-structured, and forward-thinking approach to your work, while enjoying the challenge of learning and mastering new tasks? Are you
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for a PhD Student in Fabrication of Quantum Devices Your tasks Development of scalable fabrication methods of quantum nanostructures and devices using EUV lithography and e-beam lithography Close
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applications, including solving mathematical reasoning problems and tackling the Abstraction and Reasoning Corpus (ARC) challenge among others. The ideal candidate has a strong background in machine learning and
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announced. Students enrolled in the program will acquire a comprehensive skillset that is relevant to essentially any field of advanced science and technology which will prepare them for future careers in
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line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity
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learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment
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Opportunities to learn cutting edge techniques Perspectives for career development A diverse and interdisciplinary team Working, teaching and research at ETH Zurich We value diversityIn line with our values , ETH
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publications. Desired: Experience in nanopore and/or other single-molecule experiments and their interpretation Coding skills for advanced data analysis, machine learning, kinetic modeling, etc. Nanofabrication
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-molecule techniques. Coding skills for data analysis, pattern recognition, machine learning, kinetic modeling, etc. Advanced optics, biochemical wetlab, and/or bioengineering experience. Required: MSc degree