232 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" PhD positions in Norway
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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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to MINA’s PhD programme. The documentation that is necessary to ensure that the admission requirements are met, must be uploaded as an attachment. Main tasks Develop machine learning models to produce forest
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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