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to: Investigate how logical and philosophical theories can support the structuring and modelling of knowledge in practical contexts. Participate in the development of IMF by bringing in methods from formal ontology
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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd
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on JavaScript in your browser and try again. UiO/Anders Lien 17th August 2025 Languages English English English PhD Research Fellow in Formal Methods for Data Protection in Digital Twins Apply for this job See
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ecologies. Such examinations may require in-depth qualitative analyses but also mixed-methods approaches, possibly enabled by emerging AI-enhanced techniques. The PhD project should overall contribute to a
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Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler for databehandling Utløpsdato: Session Navn: SERVERID
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fellowship must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in
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expected to lead to a PhD in political science. Required qualifications Formal qualifications Education equivalent to five years at university level in Norway, including a two years (120 ECTS) Master’s
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Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler for databehandling Utløpsdato: Session Navn: SERVERID
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the leader of the Software Engineering unit. About the project The position is one of the two PhD fellowships belonging to a university-wide project called Symbiosis (Human-AI symbiosis as a means to tackle
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. The following will be considered advantages Good understanding of quantitative methods. Familiarity with established softwares for the analysis and processing of MRI images of the brain. Experience with