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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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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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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
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. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Anker Degn Jensen: +45 2217 1723, e-mail aj@kt.dtu.dk . If you are applying from
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core