72 data-analytics-phd "https:" "UCL" Postdoctoral positions at Aarhus University in Denmark
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. The ideal candidate thrives in interdisciplinary settings and is eager to contribute to method-driven research with real-world impact. Required qualifications include: PhD in electrical engineering, computer
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. The candidates must hold a PhD in Chemistry/Physics. Experience in data framework development, kinetic/thermodynamic modeling, and collaborative interdisciplinary research. An education history in chemical
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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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Mechanics and Turbulence” group and conduct research on data-driven techniques for turbulence modeling in LES and RANS. The initial contract will be for one year, with the possibility of an additional one
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice
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of strictly anoxic systems Microbial physiology assays, analytical chemistry and metabolomics Meta-omics approaches Fluorescence in situ hybridization (FISH, CARD-FISH) & advanced microscopy. Candidates with
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disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160
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information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University
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, collaborating with researchers, policymakers, industry partners, and farmers who all work on translating complex data and modelling results into actionable insights. Key responsibilities Develop and apply