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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others. About the successful applicant (Selection Criteria) A PhD in
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, electrophysiology and advanced imaging to better understand brain function and neurological disease. We are seeking candidates with a PhD in Neuroscience or a related field who bring strong hands-on expertise in
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accreditation processes and support staff capability building, promote high-quality and consistent learning experiences for students, and contribute to Departmental and School initiatives and strategic priorities
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. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Associate in Veterinary Science who has: a degree in veterinary science a PhD in Veterinary
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, research data management, and support for research events, groups and networks. This includes managing the pipeline and submission process of established grant schemes, particularly from research councils
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random but can only happen along particular directions. However, as the material is made up of many crystals, and they all have different orientations, the deformation process of a polycrystalline material
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, research data management, and support for research events, groups and networks. This includes managing the pipeline and submission process of established grant schemes, particularly from research councils
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) Contribute to the HURRI’s wider public programs and events. About you (skills, capabilities and experience) a PhD in urban planning, architecture, and or design demonstrated senior research leadership