33 post-doc-image-engineering-computer-vision Postdoctoral positions at Aarhus University
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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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Applications are invited for a 1-year Postdoc position in the field of Intelligent Control for Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark
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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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Join the Golden Matrix Team at Aarhus University The Center for Humanities Computing at the School of Culture and Society at Aarhus University invites applications for a two-year postdoctoral
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The AarhusNLP Group at the Center for Humanities Computing, Aarhus University, invites applications for multiple three-year Postdoctoral Researcher positions. Starting date: June 1 2025 (or as soon
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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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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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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling