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-informed learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 5 hours ago
cryptography or applied cryptography. A strong math background in related areas such as coding theory will also be considered. Capability of applying deep learning models and willingness to use them
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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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 point
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computational methods with a particular focus on deep learning and image analysis. The project relies on a close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 8 hours agoto enable the candidate to develop a world-class research program. Qualifications (both positions) The ideal candidate will have: • a PhD or equivalent degree completed at the start date of the appointment
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network architecture design and optimisation. It is envisaged that the candidates will be located at University College Cork’s campus. A successful candidate will hold a PhD degree in Computer
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system model new module integration, scenario simulations, and prognostics analyses Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: A
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://career.admo.um.edu.mo/learn-more/ . Application Procedure Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Review of applications will continue until the position is filled
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-the-loop, decision-making for complex systems, optimisation for LLMs, foundation models, dimensionality reduction, deep learning, uncertainty quantification, language, and developmental robotics. About You