157 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" positions at Aarhus University
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The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as Professor in the field of Cognitive Neuroscience as per 1 May 2026 or as soon as
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The Department of Clinical Medicine, Faculty of Health, Aarhus University, invites applications for a position as Clinical Professor in Oncology, to commence on 1 May 2026 or as soon as possible
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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for Hybrid Intelligence, Professor Jacob Sherson Tel.: +45 28775765, Email: sherson@mgmt.au.dk If you need help uploading your application or have any questions about the recruitment process, please contact HR
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resistant and susceptible plants. Develop an AI-assisted image-based phenotyping pipeline to automatically quantify aphid performances on the plants. This software will automatically count for aphids and
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the Faculty of Arts PhD training programme, see https://www.arts.kuleuven.be/english/research/becoming-researcher/phd/steps . The Faculty of Arts is a large vibrant research community of PhD students and
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as Professor in the field of advanced arrhythmia management as per 1 June 2026 or as
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The School of Communication and Culture at Aarhus University invites applications for the position of assistant professor in media production and its contexts based at the Department of Media and
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum