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breeding approaches for a range of high-value target traits. You will contribute to UQ's cutting-edge AI-guided breeding pipeline, developing and implementing methodologies to rapidly integrate beneficial
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biology and precision medicine and the Department of Pathology at the Dana-Farber Cancer Institute. Prior experience and desire to perform wet-lab research and cell biology focused research and molecular
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Science Acceleration Program (NESAP ). You will join a multidisciplinary team building AI-driven scientific workflows for the upcoming Doudna supercomputer. Doudna will deliver over 10x the performance
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, depression, social anxiety) within a program of research. High-level statistical and database management skills (SPSS, STATA, or similar). The successful candidate is required to hold Australian Citizenship
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—specifically fine particulate matter, heat, and humidity—in Philadelphia neighborhoods. The fellow will extend existing research in AI- and data-driven modeling of building systems by developing algorithms and
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sites). The successful candidate will support multicentre trial activities and contribute meaningfully to a high-impact translational research programme. The position offers a unique opportunity to
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for producing high-performance composites. Collaborate with a diverse team of researchers, engineers, and industry partners. Contribute to the publication of high-impact research papers. Qualifications: A PhD or
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datasets, performing statistical analyses and machine learning approaches to identify biomarkers of treatment responses. The candidate will also develop and implement bioinformatics pipelines in a high
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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government to translate discoveries into meaningful impact. Support laboratory operations, provide training and informal supervision to students, and foster a safe, inclusive, and high-performing research