214 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "UNIV" "UNIV" Postdoctoral positions in Denmark
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opportunities to explore the intersections between these disciplines. Reda more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Job Info Job Identification 3512 Job
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scientific results in high-quality international journals Extensive collaboration and teamwork skills Good English communication skills Who we are The Department of Ecoscience is engaged in research programs
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. In terms of research The position includes research within the project Best for Us (in Danish, Bedst for Os) https://bedstforos.dk/ . Best for Us is a large research project aimed at investigating
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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/ Terms
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the Memorandum on Job Structure for Academic Staff at Danish Universities 2025 here: https://www.retsinformation.dk/eli/lta/2025/375 (In Danish only). Terms of appointment and salary is in accordance with
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Hours Per Week 37 Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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Qualifications Ph.D. in Bioinformatics, Computational Biology, Systems Biology, or a related field Proven experience in the analysis of single-cell or spatial omics datasets Strong programming skills in Python and