23 parallel-processing-bioinformatics Postdoctoral positions at Aarhus University in Denmark
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The Department of Animal and Veterinary Sciences calls for applications for a 4-year position as a postdoctoral researcher in processing and development of new sustainable feed sources. The position
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the
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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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understand how materials interact with soft and hard tissue. Willingness to learn and integrate new methods or technologies, such as bioinformatics and 3D imaging processing. Ability to work both independently
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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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application or have any questions about the recruitment process, please contact HR supporter Tina Engelst Mølbæk, tel..:+45 20934966, e-mail: tinaengelst@au.dk . Place of work Department of Law, Bartholins Allé
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Forooghi, forooghi@mpe.au.dk . Deadline Applications must be received no later than 2 September 2025. Application procedure Shortlisting is used. This means that after the deadline for applications – and
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questions about the recruitment process, please contact HR supporter Line Kristiansen, lmkr@au.dk Place of work Department of Political Science, Bartholins Allé 7, DK - 8000 Aarhus C.
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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