380 evolution "https:" "https:" "https:" "https:" "ESPCI Paris PSL" positions at University of Oslo
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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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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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with the EU). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296940/post-doctoral-fellowship-norcie-norwegian-centre-for-international-economics Where to apply
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Take part in administrative responsibilities aligned with the needs of the Department For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296365/associate-professor-in
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a range of biodiversity aspects, such as taxonomy, character state evolution, historical biogeography, phylogenetic diversity, and speciation. Aims with this project are to use new methodologies
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is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer simulations
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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