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Description Do you want to contribute to the development of knowledge, insight and solutions that are relevant to conserve the world’s biodiversity today and in the future? We are looking for a PhD research
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sheet evolution, methane hydrate fluxes, or applying machine learning to geosciences to reconstruct glacial histories and project future ice sheet behavior. Please read this interview for more details
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and magnetic data to map subsurface structures 3. Basin modelling, with knowledge of sedimentary processes and tectonic evolution The project would contribute to mapping the thickness of sedimentary
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universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive
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-development Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294721/phd-research-fellow-in-fi… Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent
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research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive place to study and work. PhD research fellow in theory
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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development
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that are relevant to real-world management. BioM is committed to creating a high-quality, supportive environment for the training and development of PhD candidates and postdoctoral fellows, including individually
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for important physical processes which impact galaxy evolution, such as dark matter models, gas accretion, star formation, black hole formation and evolution, and radiative or mechanical feedback from stars and
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, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based synthetic data generators