603 Engineering-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United States
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Argonne National Laboratory invites applications for postdoctoral research positions in experimental physics, with a focus on advancing superconducting particle detector technology for next
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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Computer Science, AI, Machine Learning, Computer Engineer or a related field. Strong background in machine learning and machine learning frameworks Proficiency in Python and deep learning frameworks A combination of
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of optogenetic measurements, and electrode calibrations and measurements. 20% - Candidates will be expected to interface with team members at Pinnacle Technology Inc. to optimize biosensors and maximize
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on behavioral health in youth and families, with focus areas including: • Mental health literacy and prevention strategies • Social and environmental influences on sleep and developmental processes • Technology
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contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication
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languages. Preferred Qualifications: Ph.D. (or foreign equivalent) in Oceanography, Acoustics, Marine Science, Engineering, Environmental Science, Fisheries Science, or a related field. Experience leading
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Apply now Job no:502343 College / VP Area: College of Engineering Work type:Staff Location:Newark, DE Categories:Research & Laboratory, Full Time Curious about the full value of working at UD? In
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detectors, ultra-high vacuum, tritium gas handling, magnetometry, cryogenic engineering, charged-particle trapping, atom trapping and cooling, RF/microwave cavities and radiation detection, FPGAs, Python, C
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national security, proliferation detection, and nuclear forensics applications. This position resides in the Collection Science and Engineering Group in the Material Characterization and Modeling Section