355 machine-learning "https:" "https:" "https:" "https:" "https:" "Humboldt Universität zu Berlin" positions in Switzerland
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical foundation. Candidates are also expected to have strong coding and implementation skills, with the...
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and quantum solid state physics is absolutely essential Good computer skills are a plus We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development
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other means cannot be considered. For questions, contact Kathrin Eckerth by email: sek-mlps-englsem@unibas.ch with the subject Post-doc in English linguistics, Locher. Where to apply Website https
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line
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School of Architecture, Civil and Environmental Engineering ENAC, EPFL | Switzerland | about 1 month ago
an annual budget of 17 MCHF and about 170 researchers and collaborators, Idiap is today a key Swiss research institute in multiple AI fields, including machine learning (including deep learning, foundation
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for PhD students and postdocs. Learn more at https://www.muoniverse.ch/ . Muoniverse positions often serve as bridges between individual research groups and institutions, supported through dedicated
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for PhD students and postdocs. Learn more at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported
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Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning Collaborate with industry partner to tackle challenges of practical
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equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and