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Field
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machine learning, robustness, or formal verification (e.g., NeurIPS, ICML, ICLR, IEEE S&P, USENIX Security, CCS). Proficiency in Python and experience with at least one additional programming language such
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: 279354599 Position: Postdoctoral Research Associate Description: The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/ ) at the Andlinger Center for Energy and
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postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . For more information on the lab please visit https://milbrandtlab.wustl.edu/ . Working Conditions: This
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(https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position will inform
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directly. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7073-MICPEF-093/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldPhysicsEducation
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in project meetings and team and lab meetings in Villefranche. The Laboratoire d'Océanographie de Villefranche (LOV ; http://lov.obs-vlfr.fr/ ) is located close to Nice, on the French Riviera. It
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measures for comparing hearing performance between ANI and CI users. Create and maintain software tools for stimulus delivery, response collection, and data analysis (MATLAB and Python). Collaborate with
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visible publications in the field of computational social science Expertise in the collection, use and quality assessment of digital behavioral data Very good command of R and/or Python and (ideally
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for large relational databases using SAS, R, Python and/or SQL. Demonstrated oral and written communication skills, and the ability to present scientific findings in various formats and to compose manuscripts
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programming languages such as Python, R, or MATLAB for data analysis and algorithm development. Knowledge of machine learning techniques and statistical modeling for environmental applications. Excellent