281 data "https:" "https:" "https:" "https:" "UNIVERSITY OF LUXEMBOURG" uni jobs in Denmark
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). You can read more about DTU Sustain at https://sustain.dtu.dk/en/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
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the position, please contact Professor and Head of Research Group, Rene Hendriksen on +45 2245 0763. More information about the EURL-AMR can be found at our website: https://www.food.dtu.dk/english
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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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participation, control strategies, lifetime extension) Risk, uncertainty quantification, and value-of-information perspectives for operational decision making System representations (e.g., structured model
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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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. These other collections might also be relevant to the postdoc project, if supplementary cases fits in. The center has currently four PhD-projects and one Postdoc. More information on https://www.sdu.dk/da
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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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, 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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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