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Corporate Laboratory is seeking to hire a Research Fellow. The selected candidate will innovate hybridized composite materials and thin film coatings. Key Responsibilities: Work on plasma physics process and
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longitudinal aging study, the Betula Project, as well as the UK Biobank. The candidate will handle, process, and statistically analyze large amounts of data on blood markers, cognitive tests, and health and
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-vitro testing using simulators. About you The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process
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% position as PhD Research Fellow in “Pioneering AI and Sustainable Materials for Next-Generation Offshore Wind Turbines” from November 1st 2025, or by agreement. The position is at the Department of Process
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or distinctions Postdoctoral research experience in an internationally renowned laboratory (we would normally expect at least 3 years postdoctoral experience). Downloading a copy of our Job Description Full details
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an interdisciplinary and international team of experts in antibiotic drug discovery, molecular simulations, structure-based drug design, covalent enzyme inhibition, organic synthesis, and medicinal chemistry. We will
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of software development and providing technical support Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description
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to apply To apply, please download a copy of the application form at the bottom of this screen. Once you have completed the form, click the Apply Now button at the side of your screen and upload a copy of
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the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest disturbances more robust modelling of soil accumulation
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous