24 post-doc-image-engineering-computer-vision Postdoctoral positions at Aarhus University in Denmark
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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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, AMBA and EQUIS accreditations. Further information For further information about the position and the department, please contact Head of Department Thomas Quistgaard Pedersen Tel.: +45 27467467, E-mail
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
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related to the position, e.g. cell technology or biomaterials science. Strong experience in animal studies and collection of samples for biological and 3D imaging analysis. Ability to plan and manage
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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has three research units which focus on bioanalytical chemistry, forensic imaging and clinical forensic medicine. The employees work in an interface between public sector consultancy and basic and
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our BSc. and MSc. program by contributing with teaching and supervision? Then the Department of Civil and Architectural Engineering invites you to apply for a 4-year postdoc position on position “data
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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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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling