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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
candidate will join a vibrant research environment on the UNC Chapel Hill campus, collaborating closely with scientists, engineers, technicians, and students at UNC and Triangle Universities Nuclear
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and external project partners Ensure timely milestone reporting and structured project documentation Your Profile: Expected: Completed PhD in Materials Science, Polymer Science, Chemical Engineering
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
the 21st century whether the focus is cancer, energy, economics or literature Connections working at Massachusetts Institute of Technology (MIT) More Jobs from This Employer https://main.hercjobs.org/jobs
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to enable effective reuse, repair and remanufacture of EEE. About you You should possess a relevant PhD/DPhil (e.g. in Engineering, Product Design) and have knowledge of relevant sustainability assessment
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Apply software engineering and documentation best practices to ensure usability and maintainability Present results at meetings, workshops, and conferences Publish findings in conference proceedings and
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the Directorate of Technology, Engineering and Quality. The Independent Safety Office is responsible for overseeing the development, implementation, maintenance of ESA policies, requirements, standards and
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Essential: PhD in Materials Science, Physics, Chemistry, Engineering, Artificial
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness