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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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implementing programs for large and small groups Experience composing a variety of business documents Experience speaking publicly to large and small groups Experience using computer software and applications
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conferences. A statement of research interests (1-2 pages). Contact information for at least three professional references. UM6P. Where to apply Website https://www.timeshighereducation.com/unijobs/listing
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selected for the position and with your permission. Closing Date: Open Until Filled: Yes Additional Information for Applicants: All new employees are required to have listed credentials/degrees verified
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
will develop detailed lifecycle assessments and technoeconomic analyses of the pyrolysis process and for large-scale end-uses of the co-produced solid carbon. The geologic hydrogen project will develop
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new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records
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are interested in applying data science to pressing public health issues. The role will involve managing, cleaning, and analyzing large administrative and claims datasets, supporting and leading statistical
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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communication skills as demonstrated in application Physical Requirements & Working Conditions Degree Requirement Listed degree qualification is required at time of hire Posting Information FLSA Status Non-Exempt
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Department: Student Services Salary: Commensurate with experience Description: Manages the day-to-day operations of a large university program or department, including the supervision of staff