354 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions in Denmark
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Maersk Mc-Kinney Moller InstituteCountryDenmarkGeofield Contact City Odense Website http://www.sdu.dk Street Campusvej 55 Postal Code 5230 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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@biosustain.dtu.dk or tel.: +45 5360 5222. You can read more about the department at https://www.biosustain.dtu.dk/technologies/biofoundry/automation . Applications received after the deadline will not be considered
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department, research area or project: https://www.cbs.dk/en/research/departments-and-centres/department-of-accounting The assistant professorship is a fixed term position (4 years) with research and teaching
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webinars, sessions held within Lead Authors Meetings (LAMs) and, as necessary, by direct contact. CSs must observe all the principles and procedures of the IPCC, including code of conduct (https
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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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information If you would like additional information about the position, please contact Head of DNA Foundry, Viji Kandasamy on vijkan@biosustain.dtu.dk You can read more about DNA Foundry at https
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). Open the “Apply now” link, fill out the form, and attach your motivated application, CV (incl. links to code portfolio like GitHub), and exam certificates. If you want additional information about the
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. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 3 2026. Questions For specific
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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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mandatory: Experience with bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like