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Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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tissue culture, biotechnology, physiology and plant cell wall chemistry. Completion of a PhD degree level qualification in crop science; or completion of a Diploma with relevant work experience; or
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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 of a PhD in Education. A focus on indigenous
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team and ensure all key research outcomes and milestones are achieved in alignment with project timelines. Qualifications, skills and experience required A PhD qualification or equivalent in Geology
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or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working
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. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI
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Australian National University | Canberra, Australian Capital Territory | Australia | about 23 hours ago
bring: PhD in bioinformatics, computational biology or a related field. Experience or interest in applying computational methods to RNA/mRNA therapeutics. A demonstrated ability to publish high-quality
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Australian National University | Canberra, Australian Capital Territory | Australia | about 23 hours ago
events. The Person The successful candidate will hold a PhD in design or a related field, with an active research and publication agenda. The successful candidate will have experience in one or more of: co
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software (Prism, Origin Pro, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to
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cell growth and PHA content. Characterise PHA properties, test biomass separation methods, and evaluate green solvent extraction techniques. Contribute to funding applications, collaborate on research