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- NTNU - Norwegian University of Science and Technology
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and NTNU is at the same time an application for admission to a PhD program at the institutions. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as
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Group (CAG) entitled “Patient-tailored management of bacterial infections in the age of antimicrobial resistance”. The position is for a period of four years. The nominal length of the PhD programme is
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, systems, and constraints explicit and machine‑interpretable, and (3) is suitable for computational reasoning and AI-based methods. In doing so, the project creates the semantic foundation that enables AI
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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. Admission to a doctoral program at one of the Norwegian mainland universities is a condition for the employment. Numerical modeling skills, preferable ROMS. Knowledge of physical processes in the ocean and
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, and the use of feed additives) will also be explored. The applicant is made aware that an application for a PhD position at NMBU is at the same time an application for admission to a PhD programme at
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date: August 2026 at latest The students will be enrolled in the structured PhD programme at the LMU Ph.D. Medical Research - Faculty of Medicine - LMU Munich This position is part of 19 PhD Fellowships
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forming a sufficient basis for admission. Desired qualifications Some background knowledge in either (computational) Bayesian methods, or statistical learning for complex data, unsupervised learning
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monitoring by applying drone-based remote sensing methods. In a warming Arctic, forecasting how future changes in snow conditions will impact ecosystems, landscapes, and communities is critical. Yet, to date
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endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe