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Field
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-protein interactions using biochemical and biophysical approaches. ● Conjugation of aptamers to imaging or therapeutic payloads. ● Collaboration with protein biochemists, molecular biologists
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non-deterministic behaviour, data-driven failure modes, human-machine interaction and emergent system effects; proposing and assessing architectural patterns for the safe integration of AI functions
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. This interdisciplinary initiative connects agentic AI framework design, large language models (LLMs), and interactive digital twins with real-world municipal decision-making. The project focuses on deploying auditable
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infrastructure. About you We are interested in candidates with expertise in one or more of interactive theorem proving, formal verification, information-flow security, seL4, neurosymbolic AI, and AI-assisted
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interaction analysis, light microscopy and/or cancer assays. Prior experience in the autophagy or intracellular trafficking fields is considered an advantage. We are looking for a highly motivated individual
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spectrometry (XL-MS) using photoactivatable crosslinkers to investigate TDP-43 interactions and oligomerisation primarily in vitro. You will be based in the laboratory of Dr Antonio Calabrese and work closely
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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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carry out independent research and may choose to interact with one or more research groups in the department. Applicants are encouraged to contact members of the department before applying. Applications
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particularly welcome applicants with strong expertise in Isabelle/HOL or other interactive theorem provers, formal verification and security, or neurosymbolic AI and AI-assisted reasoning. Deep expertise in
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project - “Utilising education spaces as test-beds: Harnessing human-environment interaction data to achieve thermal comforts and energy saving in University classroom”. Qualifications Applicants should: (a