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22 Jan 2026 Job Information Organisation/Company University of Oslo Research Field Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 Feb 2026
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at international conferences; Make the algorithms of easy and practical use for any user (algorithms will be shared through an open platform). Profile The candidate should have a PhD diploma in Computer
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with lab members and external partners to translate methodological advances into applied analyses and usable tools. Support Research Training: Co-supervise PhD and masters students, providing guidance
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with the successful candidate, depending on their background and interests. Profile • PhD in Mathematics (to be completed by the start of the position) • Strong research record in stochastic analysis
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, math, statistics, and/or computer science Experience with programming, data science, and geospatial analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an
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Specification Essential Criteria: Qualifications 1. An excellent first degree in area of specialism (e.g., cyber security, computer science, maths, or electrical engineering) 2. Normally, a PhD (or be close
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. The application deadline is 6 January 2026. Postdoctoral fellowships are intended for young mathematicians with a strong research record. Fellows must have completed a PhD in mathematics prior to the start of
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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at the Warsaw University of Technology”, financed through the FENG MAB programme (contract no. FENG.02.01-IP.05-0058/24). Candidates are required: 1) a PhD in Math, Computer Science, Physics, Artificial
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation