59 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral positions in Australia
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data analysis and familiarity with HPLC/GC/LC‑MS Excellent communication skills and the ability to work both independently and collaboratively Experience with scale‑up/scale‑down approaches and an
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young (18 to 24 years) Aboriginal and Torres Strait Islander people who are in custody. The Research Associate would help coordinate and undertake data collection, data interpretation and development
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the opportunity We are seeking to appoint a Postdoctoral Research Associate in Mathematics and Statistics to work on a project entitled “Data-driven modelling of dynamical systems: A measure transport
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Scientia Professor, the Post-Doctoral Fellow will undertake advanced data management and statistical analysis of large, complex linked datasets, contribute to rigorous study design, and ensure high standards
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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are valued and supported. About Us The School of Mathematical and Physical Sciences is an inclusive community in scientific collaboration. Mathematics and statistics drive breakthroughs in technology and data
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discovery, generating mechanistic data that directly informs the development of next‑generation medicines for neurological disorders Base Salary, Academic Level A $113,400 - $121,054 + 17% superannuation
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analyse data in the manufacturing process. The project is a partnership between Rux Energy and USYD and is a multi-disciplinary effort between scientists and engineers. We are looking for a Postdoctoral
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discovery, generating mechanistic data that directly informs the development of next‑generation medicines for neurological disorders Base Salary, Academic Level A $113,400 - $121,054 + 17% superannuation
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essential PhD experience in single-cell research and data analytics, ideally in proteomics or transcriptomics. The candidate should have evidence for high-impact publications, experience working with HPC