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stellar tidal streams) around disk galaxies. The successful candidate will design, perform and analyse idealized and cosmological hydrodynamical galaxy formation simulations, develop or improve models
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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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developed countries, smartphone penetration exceeds 80%. The automatic transport mode detection (TMD), when effectively exploited, possibly using some kind of machine learning algorithm, provides more
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cooperation with the Institute of Marine Research. The core of the position will be on development of new deep learning methods for segmentation/classification of data with limited and weak labels. Your may
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working with machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in
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Job related to staff position within a Research Infrastructure? No Offer Description The transition from a fossils-based to a circular production of consumer goods requires the development of new
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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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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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to industry. Potential candidates should have an interest in model-based design and analysis techniques. They will apply and develop formal methods and knowledge representation techniques for industrial systems
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, develops, and implement flexible and innovative IT architectures as a part of the platformization strategies. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294543/phd