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computational tools for analyzing immunogenomics data in the context of gastrointestinal autoimmune diseases and Type 1 Diabetes. Lead the application of AI and machine learning to identify novel therapeutic
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): project Management or Project Studies (with strong computational/AI expertise) systems Engineering or Control Systems (with applications to large-scale projects) artificial Intelligence / Machine Learning
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/AI expertise) systems Engineering or Control Systems (with applications to large-scale projects) artificial Intelligence / Machine Learning (with interest in applications to megaprojects or governance
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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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an independent research portfolio, lead project design, contribute to competitive funding applications, and mentor students and junior researchers. Skills & Experience At (Level A) A PhD in biomedical sciences
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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clinical data. Develop explainable AI that clinicians trust and families can understand. Design systems that learn from every case to accelerate future discoveries. Lead ambitious, high-impact projects with
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: PhD (or thesis submitted) or equivalent experience in experimental laser physics, photonics, optics, optical engineering and/or optical sensing. A commitment to research excellence. Demonstrated ability
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new drug candidates that can transform AMD management and reduce the treatment burden of intravitreal injections. Some key skills required: A PhD in biomedical sciences, optometry, vision science
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-series data assist in the supervision of PhD and Honours students working on related topics, including the analysis of large-scale sleep recordings from a dynamical systems perspective. About you The