42 postdoctoral-image-processing-in-computer-science Fellowship positions at Monash University
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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biology, molecular biology techniques, and immunological assays. The role involves conducting independent experiments, managing multiple sub-projects, supporting students, and contributing
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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
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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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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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engineering. Be part of ARMI’s mission to address the unanswered questions with a multi-centre, cross disciplinary and highly focused approach, for the development of innovative clinical protocols as
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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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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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University's Department of Economics is seeking a Research Fellow to join the project titled “Women in STEM: The Longer-Term Effects of Teachers.” This research initiative aims to understand how teacher