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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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PRIMARY DETAIL • Salary package: $106,089 (Level A.6 - PhD) to $113,697 p.a., plus 17% employer’s superannuation and annual leave loading. • Appointment Type: Full-time, fixed Term for two years
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models, frameworks, and methods to confront complexity underlying persistent societal challenges affecting the well-being of people and the planet. This position represents a unique opportunity to
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publication list Names and contact information for 3 references Send applications via Workday Careers. Review of applications will begin immediately and continue until the position is filled. For any inquiries
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analysis, user validation, and market positioning. 5. Lead the development, both independently and in collaboration with others [including stakeholders] of the identification of potential funding
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transcriptomic data, that will be integrated with clinical metadata and whole-genome data for developing machine learning models to identify and predict patient factors driving toxicity response and sensitivity
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. This research project combines translational data from current CAR T cell clinical studies in DMG at UCL/Great Ormond Street Hospital with advanced small animal models to develop next generation CAR T cell
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with leading academic institutions and biotech partners at the intersection of AI and regenerative medicine. Work with unique multi-scale data from human thymic tissue, engineered in vitro models, and
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seminars, etc. Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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Campus in North Austin. Purpose This position aims to advance innovative processing and acquisition methodologies for land DAS and dense surveys, focusing on synthetic modeling, 4D analysis, and seismic