340 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions in Switzerland
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successful candidate will be expected to teach undergraduate and graduate courses within the study programs of Agricultural and Environmental Sciences. Assistant professorships have been established to promote
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environment. n line with our and Uni Basel values (https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html ), we are committed to sustain and promote an inclusive culture, ensure equal opportunities and
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annotation, and emerging machine-learning and generative methods for spectra or structure proposals. Evaluate and test emerging technologies (hardware and software) in close interaction with collaborators and
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to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
meticulously and work well in a team are important qualities for the positions. Basic computer skills are required for on-site data entry using a tablet. Good command of English is mandatory; knowledge of German
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. Alongside your research, you will teach students at the Medical Faculty, while also supervising postdoctoral researchers and PhD students. Additionally, the position includes the leadership and organization
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field of European Archaeology (Ur- und Frühgeschichte) across teaching and research: The successful candidate will teach European Archaeology at both undergraduate and postgraduate level (BA, MA, PhD) and
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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stable water isotope data, and Statistical analyses, including machine learning approaches. The full-time position is funded for four years. Salary and social benefits are provided according to ETH Zurich
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apply at https://careers.epfl.ch/job/Lausanne-Postdoctoral-Position-in-Stochastic-Analysis/1163749755/ . Contact: Bernadette Brun, + 41 21 693 9051 Email: Postal Mail: EPFL SB MATH STOAN MA C2 647