35 computer-science-programming-languages-"CNPEM" Fellowship positions at Monash University in Australia
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sits at the forefront of an international program aimed at improving the understanding and treatment of alcohol use disorder. This position will leads functional neuroimaging research and plays a key
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meaningful program of work that includes literature reviews, field research, data analysis and scientific writing. The role also involves preparing ethics applications and presenting research findings
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program. You will develop and implement cutting-edge computational approaches to accelerate the identification and optimization of novel drug candidates, including molecular dynamics, protein modelling
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and oral communication skills, including drafting of academic papers and grants High level computer skills with software skills such as Microsoft Office, SAS, SPSS If this sounds like you, we highly
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peer-reviewed publications, while providing senior-level expertise to support and mentor internal teams. A vital responsibility includes guiding emerging science-practitioners (Clinical Psychology PhD
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Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking a highly skilled Research Fellow with a strong understanding of radar radio frequency (RF) systems
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industry- and government-friendly materials, public scholarship, and peer-reviewed academic publications The successful candidate will have a doctoral qualification in sociology, science and technology
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of Information Technology is seeking a Level A Research Fellow to join the Department of Data Science and Artificial Intelligence (DSAI). This role offers an exciting opportunity to contribute to cutting-edge research
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implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised