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- University of Oslo
- UiT The Arctic University of Norway
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- NTNU - Norwegian University of Science and Technology
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Field
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. The project The position is affiliated with the Aerospace Engineering activities at UiT in Narvik, which include research on autonomous spacecraft systems, CubeSat missions, formation flying, Model-Based
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of the applicant and the current needs of the department. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Place of work is the Department of Technology Systems
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may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department. No one can be appointed for more than
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shipping, identify critical criteria for integration and operation, and develop a model for simulation of the energy system. This includes normal operations, ramping, transit vs. port stay, and maintenance
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integration and robotisation of many sedaDNA processes, making them world class in this area of research. Natural Sciences currently involved in three large projects: “MEMELAND”, “IceAgent” and “Norwegian
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career-promoting work may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department. No one can be
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political science and be proficient in conducting quantitative analyses. Experience with computational text analysis and large language models is an advantage but not a requirement. Knowledge in comparative
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organization of the fighting parties? More information about the project can be found here: https://www.sv.uio.no/isv/english/research/projects/wow/index.html The PhD Fellow is expected to develop a research
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, supervision, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department. No one can be appointed for more than one PhD Research Fellowship
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qualifications Applicants must have a very good to excellent command of English (written and oral). Applicants must be well-trained in conducting quantitative analyses. Experience with large language models