53 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Lunds universitet
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duties mainly involve research and teaching. The position includes the opportunity to undertake five weeks of training in teaching and learning in higher education. Work duties include: Research within
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years after which you may be promoted to a tenured position as a senior lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in
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version of which can be found at https://server.atkinson-lab.com/webflags . We offer Lund University is a government agency, which means you receive special benefits, generous annual leave, and an
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tenured position as a senior lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in higher education and get the opportunity
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creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed
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to professor. You will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international
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will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff
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found here https://www.maxiv.lu.se/beamlines- accelerators/support-labs/microscopy-labs/ . This is a temporary position from March until October 2026. Qualifications for a successful candidate are: Hold
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learn new techniques, and strong time management skills. Strong collaboration and communication skills. Meritorious for the position are: Proven ability to collaborate with researchers from different
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covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full