131 high-performance-computing-postdoc positions at University of Dayton in United States
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with the Additive Manufacturing processes. • Experienced in performing image analysis. • Basic understanding of computer programing and/or machine learning. • Basic understanding of sensors and data
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, the ideal candidate will bring many of the following: *Degree or certification from a post-secondary culinary arts training program. *Proven experience in a restaurant, catering or university high volume food
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, tuition assistance for you and your dependents, vacation/sick accrual and holiday pay. This position is responsible for performing research projects, making technical presentations and publishing research
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while maintaining the highest ethical standards. It is keenly aware that compliance with applicable laws and regulations is an essential condition for performing its business. Its commitment to compliance
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improve existing methods. The research goals are to perform and improve characterization of aerospace materials including metallic, ceramic, polymer and carbon matrix composites, by merging or adapting NDE
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evaluating, performing, integrating and advancing NDE methods for aerospace applications. Inspection of aircraft structures, engines, and support components for damage due to in-service or manufacturing
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- Experience in evaluating various artifacts of SWIR/MWIR/LWIR and visible sensors - Experience in using EO/IR multi sensor fusion system engineering to obtain the performance characteristics, capabilities
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, works as bartender, follows set up and sanitation procedures. Minimum Qualifications: *Must have high school diploma or equivalent. *Ability to bend, stoop, stretch, reach, push, pull. *Ability to lift
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! The Mental Health Therapist will provide individual, group, family, and crisis counseling to the student's in the schools served. The Therapist will be responsible to teach a Social and Emotional program to
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management solutions. This position will perform research designed to advance current understanding of the effects of laser manufacturing processes on materials through sensor development, implementation, data