24 parallel-computing-numerical-methods "Simons Foundation" Fellowship positions at Monash University in Australia
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transport, the workplace and the home and community. Working closely with leading experts across MUARC, you’ll apply advanced biostatistical methods to complex datasets, helping uncover insights that improve
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program that advances the understanding within the scientific fields of brain and mental health. This position will contribute to the research priorities of the Turner Institute for Brain and Mental Health
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Study lipid–protein–polysaccharide interfaces in complex biological media Conduct research involving cell culture, bacteriology, and compositional analysis Develop and optimise equipment and methods
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biology models Testing and evaluating new therapeutics in support of a drug discovery program Delivering high-quality, timely data to the MTDD–Servier joint project team Supporting project milestone
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is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. To learn more about the School of Nursing and Midwifery at Monash . About Monash
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to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. To learn more about the School of Nursing and Midwifery at Monash . About Monash University At Monash , work
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across academia and industry. This position forms part of a major national program in Australian green ironmaking and will utilise Monash’s world-class analytical capabilities and pilot-scale facilities
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Research Fellow in Fractional Edge Decompositions of Graphs Job No.: 687653 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A (plus 17% employer superannuation) Amplify your impact at a world top 50...
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international peers working on the program, industry and government stakeholders, and funding bodies. Exploring, leading and coordinating opportunities for new research proposals, initiatives, or collaborations
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI