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The Data Science Institute (DSI) at Columbia University invites applications for the position of a Postdoctoral Research Scientist focused on the application of machine learning applied to neutron diffraction and spectroscopy techniques in the group of Professor Billinge, funded by US Department of Energy, Office of Science, Office of Basic Energy Sciences.
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We invite applications from researchers working in Data Science, broadly defined, including those working in other domains who contribute to data analysis methodology for that domain (e.g., methods and/or applications of artificial intelligence, machine learning, statistical inference, computational/applied mathematics, data visualization, etc) as well as those whose research focuses directly on the methodology itself (e.g., computer science or statistics.
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Master’s Degree in Statistics, Data Science, Applied Mathematics, Econometrics, Finance, Operations Research, Industrial Engineering, Physics, Computer Science, or similar quantitative field required.
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ITSD has multiple Research Analyst openings focused on cybersecurity, other cyberspace challenges, and information technologies including artificial intelligence, machine learning, data science, NLP, communications, and microelectronics.
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Bachelors degree in Statistics, Biostatistics, Epidemiology, Applied Mathematics, Data Science, Computer Science or relevant related field or an equivalent combination of education and experience required.
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Dr. Chen's research interests span a diverse range of fields, including control theory, network science, tensor algebra, numerical analysis, data science, machine learning, deep learning, hypergraph learning, data analysis, and computational biology.
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An advanced degree (master's or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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We are seeking an Applied Data Scientist to perform research and development that will yield novel and advanced multi-modal detector systems, instrumentation, measurement techniques, and algorithms in support of applications from a broad user base.
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JOB DESCRIPTION AND POSITION REQUIREMENTS:We are searching for a Research and Development Engineer to join our Acoustics Division at the Applied Research Laboratory (ARL) at Penn State University.
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Masters or PhD degree in at least one of the following areas: Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline.
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Our Flagship Data Science team is seeking a Senior Staff Data Scientist to work alongside the newly formed Applied Science team focused on building inference, algorithms, and models to identify and quantify complex cause and effect in the ecosystem.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Lead real-world evidence (RWE) development programs to support global market access initiatives such as AD natural history, epidemiology, and health services research within the US Veterans Administration.
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Bachelor’s degree or applied experience in at least one of the following areas: Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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data science research and development applied jobs Title: science director
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