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science, data science or related areas, as evidenced by a strong record of data analysis, modelling, and scholarly publication. Experience working in collaborative, interdisciplinary teams, particularly
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shielding, radiation damage, particle transport. Computational skills allowing to compose or modify comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and
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Group and the Nuclear Analysis Section of Reactor Operations. At UNSW, you will become part of a vibrant materials research community within in the School of Mechanical and manufacturing Engineering, and
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will involve a combination of simulation and statistical modelling. Your key responsibilities will be: Lead analysis of State response data to estimate detection, occupancy, and spread of PSHB Engage
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strong research track record, especially on ageing issues in emerging Asian economies. Excellent skills in programming, data analysis, and econometrics, with experience using household datasets from
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combatting wildlife trafficking and environmental harm. To be successful you will need: PhD in a relevant discipline such as computer science, data science, digital forensics, cyber security or a related field
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analysis of genomics data, including in R or Python. Strong project management skills Ability to develop, manage and maintain internal and external working relationships Highly developed written and verbal
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Laboratory Technology or BSc(Hons) (or equivalent), or relevant experience/training. Experience with or willingness to learn small rodent animal husbandry and slice electrophysiology. Proficiency in data
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and execution, data analysis, and reporting while offering an exciting opportunity to contribute to cutting-edge research in a collaborative and dynamic environment. Specific role requirements
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or a related field (e.g. statistics, risk management, economics, quantitative finance) Proven research experience in aged care, longevity, or health risk Strong skills in data analysis and computational