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activities across departments and within University structure. Works under general supervision, within established parameters, with few direct instructions. Carries out routine and non-routine tasks with
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statistical programming. Determine proper summary statistics, report formats, and all other analysis considerations Review the proposed study methodology, study parameters, and all other related study factors
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to plan and design lab, research, administrative, and other spaces, and develops schedule and budget estimates that meet the tactical and strategic long-range goals of the PME. The Director will also
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
of material deposited, while maintaining the expected accuracy. Part of the activity will also involve implementing Artificial Intelligence (AI) methods similar to computer vision to facilitate this prediction
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advertising this career opportunity) must apply online via his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact Lindsey Kelly, Office Manager at 518-483-7403 with
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements This position
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vision imaging technologies and machine learning methods to estimate physiological parameters (eat-readiness, shelf-life) of fruits at industrial sorting speeds. The work will include creating an accurate
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his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact Jane Pearson, Association HR Coordinator at 315-788-8450 with questions. POSITION DETAILS: This position
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apply together to develop the following research project : AI-based Online Prognostics Model for Remaining Useful Lifetime Estimation of Power Modules This postdoctoral position is part of a proposal to