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Montesi (fmontesi@imada.sdu.dk ) for more information. Hosting environment FORM is embedded in the Section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP) , an elite cluster
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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as well as collecting and analysing NMR data for protein structure, interactions and dynamics. The project is shared with the group of Haribabu Arthanari at Harvard Medical School. You will have many
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and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess
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Wieds Vej 10, DK-8000 Aarhus C. At AU Campus Viborg, the address will be Burrehøjvej 43, DK-8830 Tjele. Contact information For further information please contact: Research Group Leader & Associate
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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analytical methods to large data sets The possibility for contract extension Flexibility in planning working hours Advanced professional training opportunities Possibility of participation in international
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Engineering and Materials & Process Engineering. Close collaboration with our neighbouring Departments (Biosciences, Food, Agroecology, Chemistry, Mechanical Engineering, Electrical & Computer Engineering
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of Sensory & Consumer Science studies, qualitative and quantitative data collection and -analysis as well as manuscript writing is requested. The candidate is expected to undertake data collection