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Classification Title: Research Engineer (OPS Exempt) Autonomous Vehicles Lab Job Description: The Autonomous Vehicles Lab, a dynamic collaboration between the University of Florida (UF) and the
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Senior R&D Staff - Physics-informed Machine Learning Scientist for Autonomous Self-driving Laborator
enabling autonomous experimental workflows. Develop and apply data analysis and machine learning workflows for CNMS users. Mentor students, postdocs, and early career staff Lead proposals related to machine
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RAP opportunity at National Institute of Standards and Technology NIST Autonomous MOF Synthesis for Direct Air Capture Sorbents Location Material Measurement Laboratory, Materials Measurement
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at the CNMS enabling autonomous experimental workflows. Develop and apply data analysis and machine learning workflows for CNMS users. Lead proposals related to machine learning for scientific applications
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seeking an exceptional postdoctoral researcher to conduct frontier research in membrane synthesis by polymer self-assembly using autonomous experimental methods. In this position, you will employ a first-of
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qubits. These efforts are necessary to improve the scalability of the silicon spin qubit platform [2]. Initial efforts in autonomous tuning will focus on optimizing readout systems, shifting to the gate
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Position Description: The Department of Neurology at the Medical College of Wisconsin (MCW) seeks an Autonomic Disorders specialist for a faculty position at the Assistant to Full Professor
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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on developing autonomous ML-driven systems for measurement, calibration, and control of quantum systems and quantum computing platforms. Working closely with scientists in the Physics Measurement Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Driven Autonomous Metrology System Location Physical Measurement Laboratory, Sensor Science Division