119 computer-security-"https:"-"https:"-"https:"-"UNIVERSITY-OF-CANTERBURY" PhD positions in Norway
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clinical risk factors? 4. How can prediction models be validated to ensure they are trustworthy and reliable for integration into living digital decision aids at the point of care? About the PhD program The
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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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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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Formål: Device fingerprinting for security purposes Personvernregler for databehandling: Fingerprint JS - Personvernregler for databehandling Utløpsdato: ett år Navn: _iidt Leverandør: .jobbnorge.no
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with international partners Qualifications To be admitted to the PhD programme at the Faculty of Medicine, applicants are required to have completed at least 5 years higher education, i.e. a master’s
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Formål: Device fingerprinting for security purposes Personvernregler for databehandling: Fingerprint JS - Personvernregler for databehandling Utløpsdato: ett år Navn: _iidt Leverandør: .jobbnorge.no
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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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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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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