59 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Aarhus University
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& reproducible code) Experience with natural language processing tasks (in R or Python familiarity with common tasks such as sentiment analysis, topic modelling, classification using transformer-based models
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in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas listed on the page above are of interest to you. The list
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university, seeks top students for attractive PhD stipends. The call is open until 1 February, 2026, with the earliest start date, 1 May, 2026. Please find more details and apply at https://math.au.dk/en/about
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. You can read more about the Department of Management at: http://mgmt.au.dk . Further information For further information about the position and the department, please contact the Director of the Center
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embryonic developmental competence and implantation potential. https://mbg.au.dk/en https://mbg.au.dk/en/research/research-areas/cellular-health-intervention-and-nutrition/vera-van-der-weijden What we offer
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to the research and infrastructure in the Plant Molecular Biology section (https://mbg.au.dk/en/research/research-areas/plant-molecular-biology ). Internal communication and teaching at the Department is primarily
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responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information about The Department
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Computational Biology (BiRC), Department of Molecular Biology and Genetics (MBG), Aarhus University (http://birc.au.dk), Denmark. The application deadline is 7 April 2026. The position We seek a highly motivated
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Boulevard 9Geofield Contact City Aarhus Website https://dent.au.dk/ Street Vennelyst Boulevard 9 Postal Code 8000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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but not limited to: Use AI techniques, including the development and application of large language models (LLMs), for text analysis of memory reports according to specific research aims. Content coding