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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | 2 months ago
libraries Numpy/Scipy (or similar programming language: matlab, etc.); Experience in machine learning or data mining is preferred; Independence and ability to manage a project; Good English reading/writing
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efforts, processing hires and separations, auditing payroll and cost allocations, and maintaining the integrity of personnel data. The Personnel Technician 3 serves as a resource for supervisors and
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visit: https://www.unr.edu/engineering Additional information is available at: http://www.unr.edu/cee/ Contact Information All inquiries should be directed to Prof. Hamed Ebrahimian (hebrahimian@unr.edu
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of Nevada and to the professional community at large. For more information about the Orvis School of Nursing, please visit: https://www.unr.edu/nursing Exempt Yes Full-Time Equivalent 100.0% Required
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to this position. Please refer to http://www.nevadaasun.com/documents/ for more information. Exempt No Full-Time Equivalent 25.0% Required Attachment(s) Please note, once you submit your application the only
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and databases, computing, data mining, and analysis. Act as a liaison between end-users, software developers, system designers, and different departments. Establish protocols or best practices
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the diversity of the community in which we live. For more information, please visit our Diversity and Inclusion page - https://staff.curtin.edu.au/discover-curtin/diversity-equity-and-inclusion
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bargaining agreement. HOW TO APPLY Applications must be submitted online by accessing the CUNY Portal on City University of New York job website www.cuny.edu/employment or https://cuny.jobs/ and following
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. Specific areas of research for position include, but are not limited to: classical, Bayesian, and/or non-parametric statistics; information science, data mining or data analytics; statistical process control
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in methodological innovation and demonstrable initiative to conduct independent analyses. Knowledge of machine learning, data mining, and analytic techniques. Experience working with external