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13 Mar 2026 Job Information Organisation/Company Simula Research Laboratory Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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of collaboration with top researchers within cybersecurity, networking, AI planning, and cloud computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is
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of where time frame may not be clear and where end results may be uncertain. What you bring: PhD in Computational Biology (or statistics with biological applications) Cloud computing experience. Proficiency
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structures. The group and this position are highly collaborative, so excellent communication and interpersonal skills are essential. Applicants will need to hold a relevant (e.g., computational, data analysis
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first class or 2:1 honours) in Computer Science, Software Engineering, or a closely related discipline. A master’s degree or PhD (awarded, recently submitted, or near completion) in a similar discipline
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leadership in digital research infrastructure or digital technologies, with a mandatory PhD or equivalent Extensive expertise across cloud computing, HPC, research data management, and cybersecurity A
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. This position will begin in August 2026 and is a full-time, ten-month faculty position. MINIMUM QUALIFICATIONS: Candidates applying for this position must have a PhD in Computer Science, Information Technology
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Qualifications Successful candidates will have PhD completed within the last 5 years in computer science, data science, biomedical engineering, computational linguistics, medical informatics, or a related
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scripting of pre-recorded video content for the orchestration and arrangement units of the online certificate program will be a key near-term objective. The position is expected to require four days per week
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 2 months ago
representation and speed of computation for GISS climate model, particularly the treatment of cloud inhomogeneity in GCM grid scale (~200 Km) and the improvement of K-distribution parameterization for gaseous