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embedded in the section for Process & Materials Engineering, where the research focus is almost entirely on development of new sustainable solutions, materials and processes for the green transition. AU-BCE
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undertaken within the stated framework of the research project (max. 1-2 pages). Please note that although the application process can be completed on the Aarhus University system without uploading
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Job Description The Quantum and Nanophotonics Section at DTU Electro is seeking a highly motivated postdoc to be a part of a program on ‘Symmetry-guided discovery of topological photonics’, led by
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here . The hiring process at
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The Department of Food Science, Aarhus University (Denmark), invites applications for a 36-month postdoc position to work the physical chemistry of food proteins, in particular their structure
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The Department of Food Science, Aarhus University (Denmark), invites applications for a 36-month postdoc position to work the physical chemistry of food proteins, in particular their structure
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funds for you to present your work at scientific conferences. Computer and other practical office necessities. Guidance on re-location to Aalborg, Denmark. Who are you? CNAP recruits highly qualified and
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling