204 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" research jobs in Australia
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or Research Fellow to contribute to groundbreaking quantum algorithms research led by Dr Riddhi Gupta and Associate Professor Sally Shrapnel. You’ll work at the forefront of theory, simulation and
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% Superannuation and annual leave loading Fixed Term – 2 years Full-time (35 hours per week) The role reports Dr. Maja Cassidy and has no direct reports. Specific responsibilities for this role include: LEVEL A
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Associate in all algorithmic areas of Theoretical Computer Science. In this role you will work closely with Drs Wirth, Mestre and Canonne on algorithmic research projects, and contribute to the collegial
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-funded program “Optimising Care for Older Adults in Hospital: Innovative Education & Consumer Voices in Junior Doctor Education”. The successful candidate will join the research team led by Dr Janani
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funding Knowledge on a coding language (Phyton, etc) The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, conduct concerning gender
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them The Opportunity Reporting to program co-leads Associate Professor David Slucki and Dr Susan Carland, the focus of this role will be to provide dedicated academic research support to the Monash
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alloys produced using additive manufacturing technologies. You will work close with Dr Qiyang Tan and Prof Mingxing Zhang and contribute to alloy development using computational materials science, applying
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. Use coding (e.g., Python, R, MATLAB, or similar) to clean, process, and analyse large MLA datasets and to generate figures, tables, and visual outputs for reports, publications, and presentations
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and ensure reproducibility through well-documented analytical code and workflows. Contribute to peer-reviewed publications, policy reports and dissemination activities that enhance national impact and
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for the role, as determined by the University. Enquiries: Dr Bosco Rowland, Statistician/Senior Research Fellow, +61 3 9903 9145 Position Description: Research Fellow, Data Science in Health Promotion