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unique opportunity to work on advanced image analysis and image-driven modelling as part of a wider multi-disciplinary programme that includes mathematical modelling, cancer metabolomics and novel
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-year Norwegian master program, where 120 credits have been obtained at master's level Master students can apply, but the master's degree must be obtained and documented before starting the position and
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complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
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”. A precondition for application would be a Master degree in economics (or alternatively, an current enrolment in a doctoral student program in economics). We expect previous activities in economic
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of impacts of climate extremes in Europe, from public health to societal perspectives and agricultural impacts, and will have access to a rich program of training activities and research exchanges
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for admission to the faculty's Doctoral Programme Good written and oral English skills You must meet the requirements to obtain NATO security clearance for access to the facilities of the partner companies
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. The successful candidate will join a growing research program focused on non-ionising imaging technologies for quantitative assessment of musculoskeletal function. BEC is committed to developing engineered
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
for the position of research assistant professor with a significant outreach component. Expectations of the position will be to develop an externally supported research program in agroforestry and contribute
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work experience and/or published/publishable scientific papers. You must meet the requirements for admission to the Faculty's Doctoral Programme . You must have English language skills, both written and
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operations Plan and execute iterative prototyping cycles with concepts, prototypes, and evaluations Perform empirical studies using mixed methods (e.g., interviews, observations, usability testing, experiments