117 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions in Norway
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qualifications: Experience with high-performance cluster environments. Experience with organism-level experiments such as common garden experiments or similar. Familiarity and interest in 3D-genomics. Language
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, constitutive modelling, and high-performance computing. The position offers close supervision, access to modern computational infrastructure, and collaboration opportunities across disciplines — from mechanics
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, research group and the department where the project will be performed (As a general rule, admission to the PhD programme requires one main supervisor and one co‑supervisor)The application letter should
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samples. Optimize reconstruction algorithms for efficient large-scale 3D imaging, including high-performance and GPU-accelerated computing where appropriate. Design, optimize, and validate a refractive
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to the Ph.D. degree. Read about admission to the Faculty's PhD program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship/index.html Advanced statistical and quantitative skills
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related field. The degree must be equivalent to a five-year Norwegian program (120 ECTS at the master’s level). Strong academic performance, with an average grade equivalent to B or better on NTNU's grading
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23
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computational scientists is preferred. Great emphasis will be placed on personal qualities. The candidate must be able to solve problems and demonstrate high motivation and a strong sense of responsibility. A
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Energy and Environmental Economics, focusing on macroeconomic analysis of energy transition policies
of Industrial Economics and Technology Management – Section Managerial Economics, Finance and Operation Research. The position is resident at NTNUs campus in Trondheim. This is an educational position, which
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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