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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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and responsible human–technology and human–AI collaboration in reverse logistics operations, while demonstrating how AI can optimize production, improve data utilization, and enhance automation
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Maritime Sciences (TNM): https://www.usn.no/english/about/organization/faculties/faculty-of-technology-natural-sciences-and-maritime-sciences/ Department of Microsystems: https://www.usn.no/english/about
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are offering one PhD position with specialisation in either comparative politics, political data science, or public administration. The successful applicant will be part of the research project “Waging of War
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, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and
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, combining space craft data analysis with opportunities for modelling depending on the candidate’s interests. The successful candidate will have the opportunity to join the science teams of three major Mars
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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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member of the National Insurance Scheme which also include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility UiT via
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is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD
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position is based at CREDS in Innlandet Science Park in Kongsvinger. A high degree of on-site presence is expected. For further information, please contact: CREDS Professor Johan Kask, +47 62 43 01 82