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growth analysis and gas‑exchange measurements to assess photosynthesis, transpiration, and overall plant performance. Analyze plant samples for PFAS using high‑resolution LC/QTOF mass spectrometry. Carry
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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that demonstrate how AI can transform design processes, support sustainability goals, and enable new types of high-performance vessel concepts. Duties of the position Complete the doctoral education in collaboration
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) Positions PhD Positions Application Deadline 12 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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variability: Incorporate high‑resolution meteorological data—particularly solar irradiation—together with environmental factors that impact PV performance, such as temperature, wind, dust and snow soiling
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and multilateral drilling concepts for cost-effective heat extraction Thermodynamic aspects of deep drilling: heat transfer, fluid–rock interaction, and downhole thermal effects on drilling performance
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and quantitative imaging data Experience in computational modeling of gene regulation and morphogenesis Experience working on high-performance computing environments Personal skills Strong analytical
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. Admission to the PhD programme in Artistic Research at the University of Bergen is a prerequisite for employment, and the study period begins upon commencement of the position. The PhD Fellow is expected
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a strong background in computer networking and distributed systems, including protocol stacks and network performance concepts. The degree must correspond to a five-year Norwegian degree programme
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18 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Ocean Operations and Civil Engineering Research Field Computer