392 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs in Sweden
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Field
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, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take
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to apply for this position. Read more about our benefits and what it is like to work at SLU: https://www.slu.se/en/about-slu/work-at-slu/ Location: One of the following: Svartberget Experimental Forest
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advantage Are curious and motivated to learn Contract terms Temporary employment with a start date as soon as possible, ending end of August. What we offer Chalmers provides a cultivating and inspiring
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developing and implementing data management for human data to meet future needs within data-driven Life Science research. More information about NBIS can be found at https://nbis.se . Duties We are looking
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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contact Linda Johansson; email: linda.johansson.4@gu.se ; telephone: +46(0)766183244. Unions Union representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba
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attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and
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are inspired by the diversity found in nature and seek to uncover basic mechanisms of how nervous systems function. https://www.nikolaevlab.com/ Work Duties The project assistant will take part in experiments
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education and societal relations, educational systems, school development and leadership, adult education, inclusion, learning, language and assessment, and grading issues. A significant part of the
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(e.g., from the viewpoint of physics, chemistry, or mechanical engineering), programming, machine learning, or equipment automation (including microfluidic systems, robotics and remote sensing