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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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: knowledge and experience within marine technology, in particular, offshore wind turbine technology knowledge and experience within machine learning motivation and potential for research within the field
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solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs
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solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs
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of Biosciences (BIOVIT) at the Norwegian University of Life Sciences (NMBU) in Ås near Oslo, seek to fill a three year PhD–position in Animal Breeding and Genetics. The PhD project “Genetic background of feed
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to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree or a cand.med.vet. degree, with a learning outcome corresponding to
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Stig Brøndbo 4th June 2024 Languages English English English Faculty of Science and Technology PhD Fellow in deep learning for spatio-temporal medical image analysis Apply for this job See
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Sciences (NMBU) has a vacant 3-year PhD position related to modelling bacterial interactions including plant pathogens. This position will be part of a growing working group within microbiome interactions
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machine learning for 24/7 movement behaviour’ funded by the European Union’s Horizon Europe research and innovation programme (grant agreement No.101072993). The PhD project is expected to start in summer