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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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Explore bold ideas with a team redefining addiction treatment through science The Opportunity Join a leading research team driving clinical innovation in neuroscience and psychedelics-based addiction
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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codebase, enhancing RESTful APIs, and applying best practice DevOps and Agile development methodologies. About you We’re looking for someone who brings: A degree in computer science, software engineering, or
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advancing the Biomedical Engineering program outcomes through complex research activities, including providing training in mammalian cell culture, bacteria culture, flow cytometry and microscopy, as
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impact in translational fields, which often aim to use generative AI in a responsible way. This PhD project is part of a larger cohort of projects in the Monash AI Institute, a recently expanded program
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students who are experiencing difficult personal circumstances. This scholarship has been established by the Smith family in honour of the late Mr Michael John Smith, and his legacy as an egalitarian with a
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Pharmacy and Pharmaceutical Sciences Relocation Grant Monash Accommodation Scholarship A grant for the highest-achieving Year 12 interstate students enrolling in the Bachelor of Pharmacy or
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research program in genomics in any of its forms and contribute to the education program of the School of Biological Sciences in areas broadly related to your expertise. As a Senior Lecturer you would lead