376 phd-computational-"IMPRS-ML"-"IMPRS-ML" positions at The University of Queensland
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providers and communities, informed by data from other ARC-IFC themes, and guided by relational Indigenous methodologies. Key responsibilities will include: Research: Establish a research program, collaborate
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options Cheap parking (from just $5.75 a day) Salary packaging options About You A PhD or masters qualification preferably in Data Science (or a combination of statistics and computer science), or Business
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in Computer
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technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
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dynamic research environment. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals
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and emerging research profile in biotechnology and biopolymers. You will work with Professor Steven Pratt and other CI’s on delivering against the research objectives of Research Program 1.3
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You PhD in the field of ultrasonic non-destructive evaluation
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) program, alongside a comprehensive suite of postgraduate programs in Clinical Pharmacy, Pharmacy Practice, and Pharmaceutical Industry Practice. Strategically located at UQ’s Dutton Park campus within
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opportunity to make a significant impact on both fundamental science and emerging applications Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek
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, including commercialisation of UQ intellectual property; develop a coherent research program and an emerging research profile; review and draw upon best practice research methodologies. Supervision and