213 machine-learning "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral research jobs in Denmark
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
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scientific staff and 85 PhD students. English is the primary language used for internal communication and teaching, and international candidates are not required to learn Danish. Aarhus University offers a
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written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated
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the business community. For more information: https://bce.au.dk/en/research an exciting interdisciplinary and international environment at a university that consistently ranks among the world’s best universities
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your application must include the following: Application, stating reasons for applying, qualifications
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field soil and will be conducted as part of the N2CROP project [https://mbg.au.dk/n2crop ]. Your profile We are looking for a highly motivated candidate with a keen interest in legume-rhizobium
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education in quantitative genetics and quantitative genomics (http://www.qgg.au.dk/en). QGG is an international organization with 70 employees and visiting researchers from more than 20 countries. We perform
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or soon thereafter, and the position offers a full-time (37 hours) contract, in 10 months. The candidate will conduct cutting-edge research in Human-Computer Interaction, with a focus on novel interactive
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
may be obtained: From Professor Charlotte Held Gotfredsen, tel.: +45 20650942, email: chg@kemi.dtu.dk with respect to position 1 and 2. Website: https://www.kemi.dtu.dk/english/research/organic