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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
27 Nov 2025 Job Information Organisation/Company University of Oslo Research Field Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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to apply Website https://www.academictransfer.com/en/jobs/357270/phd-candidate-in-information-sy… Requirements Specific Requirements Please review the formal admission requirements here . In short, we
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designated department, program, or central unit. Ensures the identification, collection, and analysis of data that serve as a basis for outcome measurement of assigned research studies. Monitors and follows a
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are also encouraged to highlight any experience in teaching or developing courses with a data analysis or data modelling component. The candidate will also be expected to mentor senior research projects
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skills in data analysis and programming (e.g., Python or R). A track record of publications in high -quality scientific journals. Experience or interest in large language and foundational models is an
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cultural data. Experience with AI tools such as machine learning for sentiment analysis, data mining for social trends, or computational linguistics for linguistic analysis will be highly regarded
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in Python for scientific data analysis Strong analytical abilities and capacity to work collaboratively in a multidisciplinary team A PhD degree (or equivalent) in chemistry, materials science, physics
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January 15, 2026. For more information, contact Yvonne Willi (yvonne.willi@unibas.ch ). Where to apply Website https://academicpositions.com/ad/university-of-basel/2025/phd-fellowship-in-con… Requirements
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 22 hours ago
orbit (LEO) sensors Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data