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of Carbon Dioxide (GETCO₂). At our Computational Multiphysics Laboratory (CML), we value innovation, collaboration, and technical excellence. You will benefit from access to large-scale high performance
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acknowledged at a national level as being influential in expanding the knowledge of your relevant discipline.As the Research Fellow, you are expected to plan, develop and engage in high quality research projects
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acknowledged at a national level as being influential in expanding the knowledge of your relevant discipline. As the Research Fellow, you are expected to plan, develop and engage in high quality research
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We are seeking a Senior Research Fellow (Clinical) to lead research that supports the co-design, implementation, and evaluation of innovative, multidisciplinary team (MDT)-based primary care models
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publication record and experience presenting at academic conferences. Strong communicator with the ability to engage interdisciplinary teams and articulate co-design principles. Demonstrated success in
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, collaborative community Be surrounded by extraordinary ideas - and the people who discover them Multiple roles, evaluation, quantitative research experience The Opportunity The Institute for Safety Compensation
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experience with analytical software like Stata, R, or Python, are essential. The ideal candidate will also have experience with geospatial tools. Additionally, you will have experience designing and managing
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of aggregated amyloid proteins from a range of different viruses. The Research Fellow’s role is primarily to plan, develop and engage in high quality research projects that are aligned with the University’s
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
accelerated stability tests. Demonstrated experience in catalyst ink preparation and in industry-oriented catalyst electrode fabrication techniques (e.g. spray coating). Sound knowledge of electrolyser stacks
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framework for identifying optimal study designs. At La Trobe, The Research Fellow will be a member of the Infectious Disease Modelling Group in the Department of Mathematical and Physical Sciences (School