718 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "UNIV" positions in Norway
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: Excellent opportunities for professional development opportunities within a strong and supportive academic environment. Salary of NOK 570 000 (position code 1017) according to the state salary scale. Salary
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requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english
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Website http://www.ntnu.no Street Høgskoleringen 1 Postal Code 7491 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Candidates without a master’s degree have until 31.08.2026 to complete the final exam. The purpose of the fellowship is
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Latin language literature may also be relevant). The position will additionally involve teaching courses offered in translation (courses with codes beginning with ANT or RETKLA). The successful candidate
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Professor, code 1011, of NOK 757 600 – 797 000. Further increase in salary will depend on seniority. A higher salary may be considered for a particularly well qualified applicant. Personal funds for fieldwork
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LaboratoryCountryNorwayCityOsloPostal Code0164StreetKristian Augusts gate 23Geofield Contact City Oslo Website http://www.simula.no Street Kristian Augusts gate 23 Postal Code 0164 E-Mail shaukat@simula.no STATUS: EXPIRED X (formerly
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to increase the proportion of women in scientific positions. We have a number of measures to promote equality. Salary and conditions In the position of PhD Candidate, code 1017, your gross salary will normally
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Contact City Oslo Website https://www.mn.uio.no/ibv/english/ Street PO box 1072 Blindern Postal Code NO-0316 E-Mail katrine.borga@ibv.uio.no van.k.dinh@ibv.uio.no STATUS: EXPIRED X (formerly Twitter
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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org