285 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs in Denmark
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Analysis (CADA), which leverages the combined analytical efforts at the Department. Further information on CADA, as well as the Department and a description of the new research vision can be found at: https
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, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and
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most likely be held on 14 September 2026. International applicants may find the following link useful: http://www.ism.ku.dk (International Staff Mobility). The ISM website includes information about
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, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and
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of Rehabilitation Robotics and Tongue Computer Interfacing is a requirement. Further, it is a requirement that the candidate has experience with human experiments and with clinical studies involving paralyzed users
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at two geographical locations in Aarhus and Roskilde. The Section for Biodiversity is situated in Aarhus and employs about 25 staff members. For more information on the Department see: http://ecos.au.dk/en
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recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from the head of the Cybersecurity Engineering section and Deputy Director
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Professor (tenure-track) and/or Associate Professor levels with a focus on Data Science and Machine Learning. The expected starting date is summer 2026, with room for flexibility. Depending on the profile
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biology, ecology, genome-phenotype relationships, using state-of-the-art data science, bioinformatics, and high-throughput, robotics-assisted experimentation. Teaching and supervision of the next generation
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be tailored to the candidate. We highly encourage applications from underrepresented groups in the field to apply. This is a unique opportunity to work in a multidisciplinary data-driven environment