89 parallel-processing-bioinformatics uni jobs at University of Dayton in United States
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with group leads, team leads, engineers, and other users of the system to develop processes in alignment with business needs and procedure requirements. As well, this role is responsible for creating
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in radiographic testing (RT). 4. Experience using Volume Graphics or similar software for CT image processing and data analysis. 5. Research experience including planning, conducting experiments
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design and operation • Ability to create, read and interpret models, technical drawings, schematics, and computer generated reports • Proficient in 3D CAD modeling software • Ability to follow instructions
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Proposal Manager is responsible for leading the development and writing of best-in-class proposals and coordinates/leads all aspects of the proposal process for major, multi-divisional proposals within UDRI
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identifying, applying and scaling technology essential to the operation and sustainment of the U.S. Air Force. Success comes from our teamwork and mutual respect for each other’s talents and unique perspectives
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of supplies, lab ware, and instruments essential to the operation of the labs. This position will oversee a specific area of the laboratory facilities (e.g. Innovation Center) for about 50% of their time, while
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. Additionally, the intern will assist in developing education materials for coaches, student-athletes and other constituents on campus to ensure NCAA and A-10 rules and processes are communicated correctly
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: Bachelor's degree. 1 year of experience executing projects. Strong computer database skills. Accounting knowledge and experience. Strong organizational skills. Effective written and verbal communication skills
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process and serve as a catalyst to help develop and support the formation of research teams for larger, center type grants. Additionally, will work very collaboratively with other staff working with the pre
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experience with signal processing modeling and simulation. - Skillful application of RF analysis techniques and proven history of applying simulation tools to characterize RF phenomenology - A basic