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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
Assistant Professor (Associate Senior Lecturer in the official Swedish translation) at Lund University. You develop your qualifications over a period of 5 years and the position is tenure track with
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independent research and development work, supervision of M.Sc. and PhD students, but also teaching in first- and second cycle education, leadership and administration. Additional work duties may also be
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include independent research and development work, supervision of M.Sc. and PhD students, but also teaching in first- and second cycle education, leadership and administration. Additional work duties may
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requests, logistics, and requirements related to gases and chemicals Infrastructure Support: Aid relevant groups in developing new infrastructure associated with chemicals and gases User Operations Safety
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responsibilities. The successful candidate is expected to develop an independent research profile, contribute actively to collaborative projects within the division, and engage in larger interdisciplinary research
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multicultural work environment with great opportunities for personal development with respect for a healthy work-life balance. Would you like to work in a challenging and supporting environment? Then join us and
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calculations. Admission requirements A person meets the general admission requirements for third-cycle courses and study programmes if he or she: has been awarded a second-cycle qualification, or has satisfied
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The position is placed at the Division of Astrophysics in the Department of Physics to work with David Hobbs on developing algorithms to improve the quality and scientific information that can be
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requirements Only those admitted to first or second-cycle courses and study programmes at the faculty may be employed as teaching assistants. Your degree should not be completed. Required qualifications
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of the human-technology-organization system and quality of life, efficiency, and risk. Particular emphasis is placed on developing knowledge that supports the simultaneous achievement of work-life