125 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Aarhus University
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research is at the cutting edge of Human-Computer Interaction (HCI), personal fabrication, and physical user interfaces. As a research assistant, you will support our research team on implementing a novel
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The Department of Agroecology at Aarhus University, Denmark, is offering a position as Assistant professor focusing on seed science. The position will be available from 01-06-2026 or as soon as
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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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. Qualifications Applicants must hold a PhD or equivalent qualifications in a relevant field, such as Child–Computer Interaction, Human–Computer Interaction, Learning Sciences, Educational Technology, Computer Science
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candidates are appointed as Assistant Professors for a period of six years with the prospect of performance- based advancement to a tenured Associate Professorship. The aim of the Technical Sciences Tenure
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negotiation. Position 1: The Department of Biology is interested in recruiting a Tenure-track Assistant or Associate Professor to expand and strengthen the department’s research and teaching expertise within
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Department of Electrical and Computer Engineering (ECE), Aarhus University (AU) invites applications for a position as Tenure Track Assistant Professor/Associate Professor in electronics
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position is a full-time, fixed-term appointment as an assistant professor with a view to a permanent associate professorship (tenure), subject to a positive tenure review. Further information on the tenure
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use the algorithms in practice, when little to no assumptions can be made on the data. Required Qualifications PhD in computer science, mathematics, statistics, or related fields (by the start date
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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