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particularly need to improve care for children with disabilities, complex needs and who face a range of challenges in their lives. This role involves using CPRD data to describe how common multi morbidity is in
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collaborative team advancing concussion care through innovation Research Fellow role driving consumer-led models in brain injury care The Opportunity Join a dynamic research team at the Monash-Epworth
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transfections, animal models, immunoblotting, qPCR, cardiomyocyte isolation, microscopy, proteomics, single cell RNA-sequencing, bioinformatics, and/or human stem cells will be viewed as an asset Willing to work
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sciences, natural sciences or medicine, with a proven track record of cardiac research Previous experience with molecular cardiology, viral transduction, cell transfections, animal models, immunoblotting
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modelling with molecular dynamic and ice/substrate interface bonding analysis. The main aspects of the research fellow role include conducting icing experiments in the Cranfield Icing Wind Tunnel (IWT
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health, and unequal health and care outcomes. We particularly need to improve care for children with disabilities, complex needs and who face a range of challenges in their lives. This role involves using
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on developing safe interactive navigation and manipulation capabilities for mobile robots operating in complex, dynamic environments. The research fellow is expected to contribute to the following key aspects: a
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on the development of theoretical models, experimental design, and data interpretation Prepare and publish high-quality scientific papers and technical reports in peer-reviewed journals Participate in grant writing
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the advanced modeling and simulation. Responsibilities: Manage the projects with the defined milestones and deliverables Manage day to day laboratory activities and a team of researchers Manage laboratory
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and curious Postdoctoral Fellow to develop and drive projects on retinal disease modeling and repair. OPTI is a part of Genentech Research and Early Development (gRED): scientists in gRED