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are pioneering discoveries across diseases that have the deepest impact on our community. THE OPPORTUNITY We’re seeking a motivated Statistical Genetics Postdoc (3-year role) to play a key role in our large-scale
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contribute to therapeutic target discovery in close partnership with industry and clinical collaborators. The postdoc joining this program will have the opportunity to: Drive high-impact discoveries in gene
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sustainable, electrified alternative to the Haber-Bosch process. You will design hybrid catalyst systems (heterogeneous and homogeneous), engineer innovative electrochemical reactors, and pioneer radical
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will contribute to the project by developing nanostructured single atom materials for environmental and sustainable catalysis, conducting mechanistic studies, and enabling large-scale materials
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engineering Engineering » Other Computer science » Autonomic computing Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country Australia Application Deadline 14 Jan 2026 - 23:59
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9 Dec 2025 Job Information Organisation/Company Monash University Department School of Mathematics Research Field Other Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
, working closely with the Spiral Blue staff, along with another Macquarie University postdoc and the academic team of Prof. David Spence and A. Prof. James Downes. The position will suit a candidate who is
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Australian National University, Mathematical Sciences Institute Position ID: ANU-POSTDOC [#27805, 560642] Position Title: Position Type: Postdoctoral Position Location: Canberra, Australian Capital
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will be heavily industry focussed, working closely with the Spiral Blue staff, along with another Macquarie University postdoc and the academic team of Prof. David Spence and A. Prof. James Downes. The
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, construct, operate and dispose of infrastructure in a carbon neutral way. By training industry-embedded PhDs and postdocs in the methodology and technology required to design out excess carbon