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models and methods to collect, summarize, analyze, and interpret trends and patterns in complex data sets. Applies statistical theories to aid in the solution of research problems. Manages multiple large
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standardised formats. Administering confidential information, records, documents and collating data and information from University systems and external sources, in line with best practice, University records
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datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience
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knowledge of large scale food production techniques as well as premium quality catered food preparation and food purchasing. Knowledge of computer system and their application to food services system helpful
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encouraged to apply for this position. For more information about this vacancy, please contact prof. Bjorn De Sutter (bjorn.desutter@ugent.be , +32(0)9/264 33 67) Where to apply Website https
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Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteUniversity of BaselCountrySwitzerlandCityBaselPostal CodeCH
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research. As a HR Business Partner, you will work within a collaborative, large People and Culture function, with a variety of expertise, including our generalists and our subject matter experts. Your key
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at behindertenvertrauensperson-br1@uibk.ac.at . Where to apply Website https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=15545 Requirements Additional Information Benefits What the University of Innsbruck
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applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 14 days ago
an internationally recognized, federally funded research program in materials synthesis. Experience with data-driven and AI/machine learning methods to guide or enhance synthetic research objectives is desirable