227 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" PhD positions in Norway
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. Kai Sandvold at the Department of Chemistry and Biomedical Science, NTNU as well as the clinical academic group for multiple myeloma research at NTNU and St. Olav’s University Hospital. The position is
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syndrome (PCOS) who have participated in different clinical studies based at NTNU/St. Olavs hospital since the early 2000s. Data from the HUNT4 Survey (the fourth survey of the Trøndelag Health Study) will
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Digital Twin for façade condition, fire safety risk classification, and maintenance planning Apply statistical and machine-learning methods to link climatic loads to degradation indicators Validate models
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Leverandør: .jobbnorge.no Databehandlingsansvarlig: Fingerprint JS Formål: Device fingerprinting for security purposes Personvernregler for databehandling: Fingerprint JS - Personvernregler for databehandling
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approved PhD program. The successful candidates are expected to start on 1st September 2026. Qualification requirements and personal skills Applicants must hold a Bachelor’s and a Master’s degree or
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7th April 2026 Languages English English English Join our thriving research milieu on international relations and Arctic security and governance! PhD within International Environment and Development
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In Norwegian institutions of higher education, there is no tradition for direct application and admission to PhD programs. Admission to a program is sought either after you have received funding
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relevant Engineering discipline, or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting MSc thesis within 30. June 2026 may be considered
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PhD level in Arctic biology, geology, geophysics, technology, and safety. UNIS makes use of its year-round presence in the unique Arctic environment, using the environment as a natural laboratory for
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. The project will contribute to research within human–computer interaction and human factors on topics including: human–AI teaming in safety-critical work AI transparency and explain-ability in operational