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for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of digital healthcare, healthcare management, information systems, or other related areas; Excellent oral and
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is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade
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to the successful completion of a PhD degree. For more information, please see our web site: https://www.uv.uio.no/forskning/phd/ The appointed candidate will be part of a dynamic and interdisciplinary research
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include: Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines. Build reproducible research pipelines and maintain reliable
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to the successful completion of a PhD degree. For more information, please see our web site: https://www.uv.uio.no/forskning/phd/ The appointed candidate will be part of a dynamic and interdisciplinary research
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: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must be C
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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an accredited college or university with a PhD in one of these fields of study: Computational Biology, Bioinformatics, Biomedical Informatics, Computer Science, Physics, Engineering, or an equivalent degree