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algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for parallelism of the completion process, highlighting
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-month term. Essential Duties and Responsibilities: Develop methods to co-analyze multiple datasets using machine learning methods Apply novel methodologies to quantum materials to better understand
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Postdoc position to support international research and capacity-building projects employing elect...
assignments The successful candidate will contribute to the acquisition, processing, inversion, and interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will involve both
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. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York
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). Assist with the recruitment, consent, and follow-up of participants with neuroimmunological diseases, including but not limited to multiple sclerosis, neuromyelitis optica spectrum disorder, MOG antibody
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. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you We are looking for a candidate with: Strong expertise in signal processing
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, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in
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institute is expanding this approach to detect a wider range of biological molecules, including volatiles in human breath. In parallel, the Institute is developing state-of-the-art methods that integrate
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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pipetting, buffer and solution preparation, PCR, gel electrophoresis, and sterile technique Proven ability to manage multiple tasks and keep parallel experiments on track Strong teamwork and communication