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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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Research Associate in Metallomics and Chemical Biology with the primary responsibility of performing metallomics studies including the preparation of responsive fluorescent sensors for application in
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molecular and cell biology techniques, including mammalian cell culture, nucleic acid isolation, and DNA / RNA / protein extraction and analyses. Proven ability to work with complex model systems both in
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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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of postgraduate research students and offers a vibrant and world class research environment. The School is currently seeking a Postdoctoral Research Associate in Metallomics and Chemical Biology with
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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work. The School of Biotechnology and Biomolecular Sciences (BABS) has an international reputation in biotechnology, molecular and cellular biology, and microbiology, including proteomics and genomics
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approach to teamwork and collaboration. Desirable: Experience in managing mouse colonies, including ethical and procedural compliance Prior experience working in a research team studying B cell biology
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the following skills and qualifications: Essential a PhD (or equivalent) in marine biology or related field a valid driver’s license a strong track record of publications in the international scientific
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time