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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 days ago
collaboration agreement between ANU and the ACT Government addressing wellbeing in the ACT. This program of research is broadly focused on enabling evidence-based policy decision-making in the ACT, particularly
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research and teaching. It offers world class undergraduate psychology degrees, as well as postgraduate professional Masters training in Clinical and Forensic Psychology, an online Graduate Diploma program
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UQ’s Criteria for Academic Performance . About You You will demonstrate some or all of the following: A PhD in Statistical Genetics, Quantitative Genetics, Computational Biology, Statistics, Data Science
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Institute and Translational Research Institute, this exciting Postdoctoral Research Fellow opportunity will contribute to a major international research program funded by the US Department of Defense, focused
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industry partners. This role offers the opportunity to lead elements of complex research programs, publish high-quality outcomes, support research funding applications, and mentor emerging researchers. Drive
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policy engagement on China through rigorous scholarship and meaningful public outreach. More information about CSKI and the fellowship program is available at https://www.mq.edu.au/faculty-of-arts/schools
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sciences research field To be successful in this position, you’ll have: Emerging track record and recognition for quality research outputs that will contribute to existing high performing RMIT research teams
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will include: Research: Develop and contribute to a high-impact infectious disease epidemiology research program, conduct and publish high-quality research, seek and manage competitive research funding
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cancer immunotherapy. Develop your expertise and research profile working with a high performing team on cutting edge research in state-of-the-art facilities. In this role, you will be expected
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supportive, high-performing School of BioSciences environment. What you will deliver: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium