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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
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fabrication methods (robotics) while integrating real-time lifecycle data into decision-making that substantially reduces the construction phase’s environmental impact. The selected candidate will work on DTs
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area of employment is Aarhus University with related departments. Contact information For further information, please contact Prof. Selin Kara ( selin.kara@bce.au.dk ), +45 2237 8964; and Assoc. Prof
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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/ 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 and Aarhus University
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analytical chemistry and with a preference to a strong background in chemistry. Candidates with practical experience in non-target analysis and data analysis workflows, gas chromatography of very volatile
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WHENCE project here: https://inspire.ku.dk/research-activities/whence/ . For further information about the position, please contact the PI of the project, Professor Sabrina Ebbersmeyer, e-mail: ebbersmeyer
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. You can read more about career paths at DTU here . Further information For more information, please contact Thomas Christensen (thomas@dtu.dk , tel.: +45 5030 6552). You can read more about DTU Electro