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is founded by Innovation Found Denmark. Responsibilities: In the project two main approaches are compared. One based on black/gray box machine learning methods and another one on gray/white box data
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at Aarhus University, but the project also includes 2-3 months at the Karlsruhe Institute of Technology for calorimetry experiments. Besides the experimental and analytical work, you will also be expected
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attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications. Dissemination qualifications, including participation on committees or boards
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activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here. Appointment shall be in accordance with the collective labour
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on previous teaching experience (if any). Guidelines for applicants can be found here. Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the
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and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here . Appointment shall be in
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activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here. Appointment shall be in accordance with the collective labour
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and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here. Appointment shall be in
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at the department. Further information may be found at http://www.envs.au.dk/en/. The department is co-located at Risø Campus with part of Department of Bioscience in Roskilde 35 kilometers west of Copenhagen
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INSITUQUANT (a minor part of the position): ‘SEEDFOOD: Functional and palatable plant seed storage proteins for sustainable foods’: https://food.ku.dk/english/research_at_food/research-projects/2022/seedfood