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Field
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. The successful candidate will lead the technical development and validation of equipment-level FDD and preventative maintenance methods, leveraging digital twins, data analytics, and reliability engineering. In
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Engineering, Department of Control Engineering, daghbnab@fel.cvut.cz , https://nano.cvut.cz/researchers/nabil-daghbouj https://nano.cvut.cz/publications?name=N.%20Daghbouj https://orcid.org/0000-0002-3932-7604
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Conference in the metroplex. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience A PhD in engineering with an emphasis in real-time optimization (e.g., extremum seeking
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around 200 dedicated staff, including 65 PhD students . We are a joint department between Chalmers University of Technology and the University of Gothenburg, combining the best of two academic worlds in
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CRCN), 2 teacher-researchers (1 MdC, 1 Prof), 4 post-doctoral researchers, 7 PhD students, 1 technician, 2 Engineer. The M3 team provides a highly stimulating international research environment. The team
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in experimental execution, data analysis, and statistical quality control. Required Education PhD in Toxicology, Pharmacology, Pathology, or related life science fields Required Experience Capable
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, and contact information for 3 references. Required Qualifications - PhD in Mechanical Engineering, Materials Science and Engineering, Polymer Science and Engineering, Electrical Engineering or a related
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S
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or equivalent Skills/Qualifications What we expect A doctoral degree (PhD) in science, preferably in systems biology, bioinformatics, (bio)-statistics, (computational) biology, computer science, engineering
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, detection, tracking, control, etc.). The integration of on-board AI requires new engineering methods, which are still poorly supported by digital twins. SAACD System of Systems (SdS): this corresponds