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support the mission of the university through their work. Qualifications Bachelor's Degree in Computer Science and/or Software Engineering; Master's Preferred Experience in building software infrastructure
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collaborative team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and
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13 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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Collaborator on activities related to the project/agreement stated. JOB LOCATION AND SCHEDULE: Mechanical Engineering Laboratory, Monday to Friday from 9:00 to 14:00 and from 15:30 to 17:30, Technological
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-and-egg" problem of sampling: developing algorithms that learn to bias simulations automatically without requiring prior knowledge of the mechanism. You will contribute to open-source software
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Atlantic locations. Coordination, logistics, and management of associated sampling campaigns. Processing of algae for blue carbon determination. Statistical analysis of results using the R software package
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programming and/or software engineering Electrical engineering and/or power systems. Application Procedure Informal enquiries are encouraged and should be addressed to Dr Jack Umenberger (jack.umenberger
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using data-driven methods You do not need to be an expert in machine learning at the start of the PhD, but you should be keen to develop rigorous ML and software engineering skills alongside deep
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of at least 3 years, including experience gained during doctoral studies; b) Experience in programming in R or other similar software; c) Experience in collecting and analysing neuroimaging data; d) Experience
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP