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of individual heterogeneity, estimation using machine learning methods and particular challenges present when studying infectious diseases. An overall goal of the project is to improve current practice in
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). The lab’s mission is to design and evaluate Artificial Intelligent (AI) systems with and for people, aligning AI technologies with human needs and values, situated at the intersection of AI and Human-Computer
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with research title "New methods for estimation of in-situ rock stresses" PhD Candidate in Rock Engineering for New Hydropower Plants - IV-52/26 Apply for this job See advertisement This is NTNU NTNU is
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the development of methods or frameworks to support secure and trusted data sharing for maritime AI model development. Depending on the candidate’s background and the project’s progression, the research
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. Experience in one or more scientific computing languages (Julia, Python, Matlab, etc) You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd) Good oral
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analytical chemistry methods, in particular spectrophotometry and chromatography Documented experience with data analysis Documented experience in analyzing and interpreting omics data, such as genomics
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tunnels and field conditions Characterize root system architecture (RSA) using high-throughput, non-destructive phenotyping methods (e.g. X-ray CT, rhizotron imaging) to identify adaptive traits for drought
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key enabler of the energy transition, it also introduces complex stability challenges, many of which are not yet fully understood or addressed by conventional methods. Existing commercial simulation
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» Programming Engineering » Computer engineering Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type
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the development of methods or frameworks to support secure and trusted data sharing for maritime AI model development. Depending on the candidate’s background and the project’s progression, the research