423 coding-"https:"-"FEMTO-ST"-"UNIVERSITY-OF-BUCHAREST" "https:" "https:" "https:" "U.S" positions in Denmark
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(https://portal.findresearcher.sdu.dk/en/persons/ ). Eligibility: Applicants have to find a supervisor at SDU Mobility Rule: Applicants must not have lived, worked or studied in Denmark or at SDU
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Municipalities, which is funded by the Velux Foundation. Read Velux’s presentation of the project at: https://veluxfonden.dk/en/projekt/migrant-solidarity-network-local-dynamics-civil-society-and-municipalities
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of Health and Medical Sciences. The successful candidate is expected to start on the 1st March, 2026 (or as soon as possible thereafter). Information on the department can be found at: https
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well as at the Faculty of Health and Medical Sciences: https://healthsciences.ku.dk/research/corefacilities/. Driving Discoveries towards Stem Cell-Based Therapies and Regenerative Medicine reNEW is committed
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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
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information, please contact Associate Professor Bettina Hjelm Clausen by email bclausen@health.sdu.dk , phone +45 65 50 48 31. Read more about the Department of Molecular Medicine at https://www.sdu.dk/en/om
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Code2800StreetBuilding 228A, Sølvtofts Plads Contact City Kgs. Lyngby, Copenhagen Website https://www.kt.dtu.dk/ Street Building 228A, Søltofts Plads Postal Code 2800 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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Information Work Location(s) Number of offers available1Company/InstituteThe Maersk Mc-Kinney Moller InstituteCountryDenmarkGeofield Contact City Odense Website http://www.sdu.dk Street Campusvej 55 Postal Code
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. The period of employment is 18 months. Further information Further information may be obtained from Viji Kandasamy, Head of DNA Foundry. You can read more about DNA Foundry at https://www.biosustain.dtu.dk
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2