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Participate in seminars, workshops, and conferences related to combinatorics and graph theory The successful candidate will hold a PhD in Mathematics or a closely related discipline, with a strong background in
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candidate will hold a PhD in Mathematics or a closely related discipline, with a strong background in edge decomposition of graphs or fractional structures in graphs. You will have the ability to solve
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. Applicants with training in quantitative and empirical research and experience in requirements engineering, safety-critical systems, or AI/ML/LLMs/Knowledge Graphs are especially encouraged to apply. This PhD
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Machine Learning, including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human-AI teaming and
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, Intelligent Decision Making, and Multi-modal Machine Learning, including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers
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Learning, including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human-AI teaming and ethical
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Learning, including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human-AI teaming and ethical
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, Intelligent Decision Making, and Multi-modal Machine Learning, including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers
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science (including medical / biomedical science), and additionally have good understanding of computer programming fundamentals (conditionals, loops, arrays, functions, graphing). Prospective SCIE1000/1100
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a focus on neurological disease and neuroimaging. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related technical field. Programming experience in