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- University of Oslo
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- NTNU - Norwegian University of Science and Technology
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data analysis or remote sensing Have familiarity with planetary science datasets and/or space mission data Demonstrate analytical and critical thinking, as well as problem-solving Be able to work
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(see below). The Fellow will be expected to contribute to data collection and measurement, and data analysis. The successful candidate will be part of the Faculty’s PhD programme. The work is expected
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employee you will become member of the National Insurance Scheme which also include health care services . More practical information for working and living in Norway can be found here: https://uit.no
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datasets and/or space mission data Demonstrate analytical and critical thinking, as well as problem-solving Be able to work effectively in a multidisciplinary and international team Have a proactive and
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project First author papers summarizing and interpreting insights from experimental and registry data, taking into account insights from the preclinical and basic science parts of the Decode project The PhD
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with microbial cultivation, fermentation or bioprocess development. Experience with metabolite analysis or interpretation of LC–MS or related analytical data. Experience with supervision of students
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. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory, and about 70 researchers, post doctors and PhD students. More information can be found at https
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Research Fellow in Statistics and Data Science Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in Statistics and Data Science available
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the Norwegian educational system For more information see: The purpose of the fellowship is research training leading to the successful completion of a PhD degree. The University of Oslo is subject to the
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engineering education. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory, and about 70 researchers, Post Docs. and PhD students. More information can be found