366 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions in Denmark
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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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neuropathologist Bjarne Winther Kristensens research group (https://www.bric.ku.dk/research-groups/kristensen-group/ ). Bjarne Winther Kristensen will be the principal supervisor. A main interest in the group is how
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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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. 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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and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk . Place of Work and Area of Employment The place
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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. An individual career development plan containing research and transferable courses, international research visits, mentoring and career activities, is also a central element. Please visit https://www.interact
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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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survivors compared to the general population, and to investigate neonatal health outcomes in children born to survivors. Where to apply Website https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1572
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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