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State University of New York University at Albany | Albany, New York | United States | about 13 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity
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challenges facing the nation. The Computational Coupled Physics (CCP) Group within the Computational Sciences and Engineering Division (CSED), at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral
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analysis ● Design and develop appropriate informatics strategies related to GIS and remote sensing as required ● Assist in building out analytical infrastructure to support common needs of related research
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projections and cost modeling for computational systems Knowledge of programming methods and techniques for parallel, GPU, and FPGA computation What to do Apply ! A cover letter and resume will assist in
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almost limitless repertoire of movements, from brewing coffee to parallel parking. To achieve this, the lab uses a wide range of methods, including computational modeling, psychophysics, patient testing
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patients and non-human primates are conducted using identical behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral researcher with background in
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cultivation of the beneficial microbes of the human microbiome. This work involves the use of parallel plating in microtiter wells of combinations of nutrients and bacterial cells, using multiplate readers
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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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regulations related to health care Attention to detail and accuracy Computer literacy Preferred Qualifications Experience and demonstrated skill with using the teaching method of asking questions for self
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management