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shaping the future to enable or deliver life-changing science to solve some of humanity’s greatest challenges. We are seeking a highly motivated and creative Postdoctoral Fellow to join the Martin group
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learning, high-performance and parallel computing, or scientific simulation; Effective oral and written communication skills; Ability to work well independently as well as in a collaborative team
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Requirements Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific
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the best-in-class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing facilities. Established in 2012, 5GIC is the world’s first dedicated centre in
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with expertise in all communication and broadcasting systems and has developed the best-in-class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing
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analysis. Our state-of-the-art parallel-computing environment includes numerous large-scale clusters and other specialized computing systems. Posting Duration: This posting will be open for application
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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 12 hours ago
data analysis to gain broad biological insight and on the development of computational methods to enable conceptually novel analyses. The research group is mostly computational with a small wet-lab
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Cardiovascular Imaging, Precision Health and Artificial Intelligence (MOSAIC study) Department Tsang Laboratory
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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
algorithms for improving the quality of space communication systems (e.g. satellite communications). Field of study Wireless space communications and signal processing Duration Payments made for 3.5
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analysis, scientific computing, PDE together with research experience in scientific machine learning, are particularly encouraged to apply. Required Application Materials Applications will be reviewed