372 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions in Denmark
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SchoolCountryDenmarkCityCopenhagenGeofield Contact City Copenhagen Website https://www.cbs.dk/en Street Solbjerg Plads 3 Postal Code 2000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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the Ph.D. candidate is enrolled as a Ph.D. student at Aarhus University Graduate School of Health ( http://phd.health.au.dk/ ) in a separate procedure before starting as a Ph.D. student. The successful
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instructor training, instructors must also take the Centre for Educational Development’s introductory pedagogical course: https://ced.au.dk/kurser/paedagogisk-grundkursus-for-studenterundervisere-og
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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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Job Description A fully funded 3-year PhD position is available at DTU Aqua, within the newly established project NOW-LUMP, funded by seabreak (https://www.aqua.dtu.dk/nyheder/stenbiderprojektet?id
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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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encourages people of all backgrounds to apply (see also https://www.bric.ku.dk/career-at-bric/ ). The University of Copenhagen International Staff Mobility Office offers assistance and guidance with regard
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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
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the Human-Centered Computing section,which focuses on designing, developing, and applying interactive computing technologies. More information can be found on our website: https://www.cs.aau.dk/research/hcc
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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