160 computer-programmer-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" Fellowship positions in Australia
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, including interviews, focus groups, and qualitative data analysis; experience in intervention-based research is highly desirable, and expertise in quantitative, design, and computational methods is also
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applications for external competitive and other funding, Develop early career research plan with guidance from mentors and supervisors, Participate in intra- and inter-disciplinary research collaborations. To be
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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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. Strong planning, organisational, computer literacy, and interpersonal skills, with the ability to manage competing priorities effectively. Sponsorship / work rights for Australia You must have unrestricted
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, Computer Science, Mathematics or a related field. Demonstrated experience developing software to support research outcomes. Strong written and verbal communication skills. A track record of scientific
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Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres
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to these values and are looking for a Postdoctoral Research Fellow in Quantitative Analysis of Economic Impacts of Ultra-Processed Foods who has: PhD in Economics, Mathematical Sciences, Computer
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of relevant training and experience proven Computer Literacy in (Excel, Clampex/Clampfit, GraphPad Prism) proven research publication in relevant field strong track record of peer-reviewed publications in
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. The successful candidate will have: Expertise in astrophysical radiative transfer and computational fluid dynamics Demonstrated expertise in the theory and phenomenology of supernova explosions Experience in
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable