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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
determination and characterization of transformation products formed during PFAS degradation; Experimental investigations of PFAS separation, immobilization, and degradation processes; and Experimental 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
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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collaborative skills in communication and presentation. Fluency in spoken and written English. Who we are You will join a vibrant, collaborative, and international research community that includes 142 full-time
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Postdoctoral researcher position at the Department of Animal and Veterinary Sciences, Aarhus Univ...
for animals kept outside in organic systems and for nature conservation. The postdoc will also contribute to developing training materials in relation to tail biting and tail docking, targeting pig welfare
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information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 24 March 2026 (23:59 Danish time). Applications
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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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position is full-time, starting 1 June 2026 (or as soon as possible thereafter), and is initially for two years. As part of the recruitment process, a shortlisting procedure will be applied. Expected start
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-time measurement of cell growth. The candidate must have good collaborative and English communication skills. The candidate will be part of an active and dynamic research group, which is internationally
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater