344 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Switzerland
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an inclusive culture. We promote 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
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learned perception can drive action in a closed loop and how we can leverage foundation models for long-term autonomy. To this end, we are looking for a capable lab technician / engineer who supports our
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programming skills in Python Experience with machine learning systems or LLM-based architectures Experience working with complex data systems or developing applied AI prototypes Familiarity with modern AI tools
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the guidance of your supervisors You must be willing to exchange with your fellow team members, support them, and learn from them. Non-traditional research topics, questions and methods are encouraged We also
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the possibility of extension. Job description You will be in charge of your own research You will take part in the professorship’s academic and social activities You will teach one course of your choice per
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Graduate Institute of International and Development Studies, Geneva; | Switzerland | about 1 hour ago
promising research agenda. The successful candidate will be affiliated to the Department of International Law . They will teach postgraduate courses and supervise master’s dissertations and PhD theses in
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training, exchanges, and career development for PhD students and postdocs. Learn more at https://www.muoniverse.ch/ . Muoniverse positions often serve as bridges between individual research groups and
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qualitative and quantitative analytical methods to model clinician attention, verbal reasoning, and documentation behaviour Develop and evaluate machine learning models, including unimodal, fusion, and
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, 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 Diversity website to find out
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and