15 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at University of Sydney
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opportunity The University of Sydney is seeking a Postdoctoral Research Associate/Fellow to join a flagship, industry-funded research program advancing carbon-neutral energy systems modelling for Australia’s
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therapy, proteomics, and experimental models ranging from human induced pluripotent stem cell (iPSC)-derived retinal neurons to mouse and donated human tissue. You will be part of a dynamic, collaborative
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design, molecular biology, and data-driven discovery to advance understanding of human retinal disease mechanisms and support the development of new treatments. The role includes undertaking both
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cardiovascular disease and cardiac regeneration, split into two themes: Investigating the molecular drivers of aortopathies. Using a range of healthy and diseased human aorta samples stored in our biobank
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mitochondrial diseases Base Salary $127,436 - $151,328 + 17% superannuation About the opportunity We are seeking a highly motivated and skilled Postdoctoral Research Fellow with a strong background in molecular
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. These are cross-cutting challenges requiring deep analysis and complex policy solutions. The United States Studies Centre is one of Australia’s most influential and dynamic think tanks. With exceptional convening
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experimental models ranging from human neurons to mouse and non-human primates. You will be part of a dynamic, collaborative research team working alongside scientists and clinicians across the Snow Vision
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complex analysis using both local and global datasets. applying nutritional geometry analysis apply advanced bioinformatics modelling techniques publish in peer-reviewed journals and present at conferences
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change. The program engages with these dynamics to develop skills for effective planning, management and leadership. Please refer to the website for more information about the academic program structure
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statistical models and analyse disparate datasets excellent communication skills with the ability to present findings clearly to diverse audiences strong collaborator experienced working with interdisciplinary