100 programming-"https:"-"https:"-"https:"-"https:"-"IDAEA-CSIC" Fellowship positions in Norway
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency in geospatial data analysis is an advantage. Applicants must be able to work independently and in a
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, supervision, and/or research assistance. This will depend on the candidate's qualifications and the needs of the institute. The research fellow must take part in the faculty’s approved PhD program and is
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of the institute. The research fellow must take part in the faculty’s approved PhD program, and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research
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needs. PhD fellowships are recruitment positions intended to lead to a PhD degree at the Faculty of Law. Applicants must be qualified for admission to the PhD programme at The Faculty of Law. More
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different perspectives and draw well-founded conclusions Engage and contribute constructively with feedback Are flexible and open to adjusting the plan for the project as needed Emphasis will be placed
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programming skills Documented experience in unconventional computing systems (e.g., publications) Documented experience with nanoscale metamaterial computational substrates (e.g., publications and/or
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the master's degree has been awarded Solid background in mathematics and physics is a requirement Experience in scientific programming (e.g., Matlab, Python) is requirement Experience in statistical analysis