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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
PhD: Development and application of Machine Learning for downscaling climate predictions/projections Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
Description PhD position There is a vacancy for a PhD Research Fellow, affiliated with the Bjerknes Centre for Climate Research (BCCR), in the field of regional climate modelling using machine learning
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
30th April 2024 Languages English English Norsk Nynorsk English PhD: Development and application of Machine Learning for downscaling climate predictions/projections Apply for this job See
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
PhD: Development and application of Machine Learning for downscaling climate predictions/projections Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
30th April 2024 Languages English English Norsk Nynorsk English PhD: Development and application of Machine Learning for downscaling climate predictions/projections Apply for this job See
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of various sensors in care for older adults and how comprehensive data can be analyzed safely with knowledge-based machine learning. Moreover, the candidate will shed light on the questions of how data can
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work with the ethical and financial issues surrounding the use of various sensors in care for older adults and how comprehensive data can be analyzed safely with knowledge-based machine learning
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in machine learning or statistical learning and hands-on experience in data analysis and modelling hands-on knowledge in building and experimenting with sensor-based systems. the candidate should be
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in machine learning or statistical learning and hands-on experience in data analysis and modelling hands-on knowledge in building and experimenting with sensor-based systems. the candidate should be
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foreign master’s degree in a relevant discipline such as Natural Language Processing (NLP), Computational Linguistics, Language Technology, Computer Science with a specialization in NLP or machine learning