102 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Aarhus University in Denmark
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The place of work is at Universitetsbyen 81, 8000 Aarhus C, and the area of employment is Aarhus University with affiliated institutions. Contact information For further information, please contact Professor
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computational biology with a strong focus on development of computational and statistical methods, particularly within machine learning and artificial intelligence. The applicant must have earned a PhD degree and
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and 95 PhD students. The department is 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
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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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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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for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice
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Computer Engineering, please visit https://ece.au.dk/ See more about our activities on LinkedIn: https://www.linkedin.com/company/au-ece What we offer The department offers: a well-developed research
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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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these experiences teach them lessons about their own fit in politically powerful positions. The two positions advertised in this call focus primarily on the second work package. The YOPOW research project runs
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong