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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in machine learning for advanced peatland mapping, starting 01-12-2025 or as soon as possible
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postdoc position (with a possible extension for 1 more year) to lead cutting-edge research in remote sensing and deep learning as part of the Ethio-Nature project, a major international research
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combines neuroscientific, musicological and psychological research in music perception, action, emotion and learning with the potential to test prominent theories of brain function and to influence the way
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applicant will be expected to participate in the department’s teaching and supervision activities and teach and supervise at BA and MA levels at the Department of Digital Design and Information Studies. Given
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research and teaching environment and activities. We expect you to teach and supervise students at Bachelor’s and Master’s level and to carry out research of the highest international standards, which
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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(carter.bloch@ps.au.dk) prior to submitting their application to learn more about the position. Place of work Danish Centre for Studies in Research and Research Policy, Department of Political Science, Aarhus BSS
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@ps.au.dk ) prior to submitting their application to learn more about the positions. Place of work Danish Centre for Studies in Research and Research Policy, Department of Political Science, Aarhus BSS
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of machine learning, remote sensing and hydrology to evaluate and validate nature-based solutions that enhance local recharge and support the replenishment of shallow groundwater systems in dryland
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feed processing. For non-Scandinavian candidates an effort to learn to read, write, and speak Danish is a requirement. Contact Further information on the position may be obtained from Professor Jan Værum