506 data-"https:"-"https:"-"https:"-"https:"-"Washington-State-University" positions in Denmark
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datasets, UAV-derived information on NBS, and environmental data to quantify ecosystem services across Danish agricultural landscapes. The postdoc will work within an interdisciplinary team of applied and
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testing and condition monitoring using modern machine learning, including multimodal foundation models and related data-driven and physics-informed approaches. Research topics may include visual and real
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factors allow it to flourish over long careers. Using unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography
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(SNSPD). Additional responsibilities include developing efficient coupling of free-space optics to optical fibers, conducting extended data-taking runs with TES and SNSPD systems, and performing data
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workflows related to biofuels and added-value compounds production Structure experimental data and information, including budgets and forecasts Coordinate effective communication among research teams
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information For further information, please contact: Professor Daniel Otzen, dao@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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Aarhus University, and the place of work is Department of Biological and Chemical Engineering, Aabogade 40, 8200 Aarhus N., Denmark. Contacts Applicants seeking further information regarding the PhD
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of information, including AI-generated forms of content. Research The Department of Media and Journalism Studies at Aarhus University has a strong international profile and a robust research network. The
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and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling