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behavioral research focused on osteoarthritis. The project centers on testing novel therapeutics for osteoarthritis in collaboration with a pharmaceutical company, involving pain and side-effect testing in
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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genetics, with a scope of influence that extends to the broader university community, potentially impacting multiple campuses, schools, and specialized programs through collaborative research projects and
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research findings into impactful software tools that improve on the robustness and security of AI and critical software systems. Ability to lead complex research and development projects with multiple
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-of-concept for a groundbreaking real-time dose verification system which is adaptable to different proton therapy treatment systems. This proof-of-concept detector system will be tested under
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/software co-design for AI applications ● Radiation testing of electronic systems, with an emphasis on single event effects Preferred Qualifications: ● Experience in designing and modeling fault
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well as testing effectiveness of implementation supports (e.g., professional learning communities and coaching). Responsibilities: Coordinating data collection and analysis activities. Developing and disseminating
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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 MET office, the candidate will use outputs from the JULES land surface model to run model experiments that test NBS adaptation potential under different climate change scenarios. For example