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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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have a truck to land on. Required knowledge This project would suit a mathematics or computer science student with a background in combinatorial optimisation, operations research or mixed integer linear
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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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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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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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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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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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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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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