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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 19 hours ago
policy engagement on China through rigorous scholarship and meaningful public outreach. More information about CSKI and the fellowship program is available at https://www.mq.edu.au/faculty-of-arts/schools
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quantum many-body theory, open quantum systems, or quantum information. Experience with advanced numerical methods for quantum systems, stochastic or phase-space techniques, high-performance computing, and
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-performance computing, reproducible workflow development, version control and collaborative data-science practices. Salary The expected salary range for this position is CAD $70,000 to $75,000 per annum at 1.0
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the opportunity to contribute to a high-impact research programme at the interface of timber engineering, sustainable construction, product development, standards translation, and industry adoption. Successful
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cardiovascular conditions that disproportionately affect women and remain poorly served by existing diagnostic tools. This is a rare opportunity to join a high-impact, well-funded program doing science that
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extracellular vesicle/exosome analyses. Optimize and apply high-multiplex protein assays for cytokine and biomarker profiling in biological samples and cell-culture supernatants. Perform microscopy and cellular
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 20 hours ago
for Devices and Radiological Health (CDRH). The mission of CDRH is to protect and promote public health. CDRH assures that patients and providers have timely and continued access to safe, effective, and high
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also build your research profile through publications, grants and supervision within a supportive, high performing lab. What you will deliver: Design and execute in vivo functional assays and genetic
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in Soil. Why Join Us? This is an opportunity to contribute to a pioneering research programme that combines carbon capture, circular economy, sustainable construction materials, and geotechnical
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networks, high-performance computing clusters, and clinical interdisciplinary collaborations across UT Austin. The applicants will join a collaborative research environment at the Translational AI Excellence