133 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Fellowship research jobs in Australia
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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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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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-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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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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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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(e.g., LabArchives, BioRender). Desirable Demonstrated experience in fermentation control, optimisation and scale-up. Experience in the use of electronic lab books Experience in coding languages (Python
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contact Dr Joel Carpenter j.carpenter@uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in the subject line
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opportunity, please contact Dr Yosephine Gumulya, y.gumulya@uq.edu.au or Dr Huadong Peng, huadong.peng@uq.edu.au. For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au
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and optimise code and digital-twinning platforms with industry partners, produce high-quality research outputs and reports, contribute to funding applications, and deliver training workshops 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