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’. The position forms part of the larger ERC-funded AFRI-FOR project (https://afrifor.info/ ). In developing countries, reconciling nature protection and development goals (food security, poverty alleviation) make
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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and fair synthetic data with good utility. We are particularly interested in applicants motivated to develop machine learning methods that matter for society — including fairness, privacy, ethical
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science). The candidate is expected to contribute toward developing wholistic adaptive management systems. BioM is an interdisciplinary Convergence Environment under UiO:Life Science , involving
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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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-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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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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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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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