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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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here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is therefore
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doctoral training, interdisciplinary research, career development, and high quality research. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293904/phd-candidate-in
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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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computational work package and develop the pipeline that operationalizes the theory and supports perceptual studies. This includes: contributing to method development on rhythm modeling; performing source
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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
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leading 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