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at Jefferson Lab Innovation in detector technologies such as 3D-printed pixelized MCP-PMTs and superconducting nanowire single-particle detectors Position Requirements Recent or soon-to-be-completed PhD (within
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development of detectors sensitive to ultra-high dose rates. Developments of computation methods for small-field dosimetry, radiation detection systems used in photon, proton, and electron beam radiation
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Education and Experience: PhD in Physics, Optics, or Photonics Required Knowledge, Skills, and Abilities: Strong publication skills Excellent scientific writing ability and good communication skills Knowledge
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of optical microresonators and silicon photonics components, such as waveguides, gratings, power splitters, multiplexers, and demultiplexers. The research project will focus on developing an innovative
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interest • Report scientific results in peer-reviewed academic journals and talks. Required Knowledge, Skills, and Abilities: • PhD. in Physics, Chemistry, Material Science, Photonics or related field
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Knowledge, Skills, and Abilities PhD in Neuroscience is required. Experience with in vivo imaging in head-fixed behaving mice is required. Experience with Arduino microcontrollers for the design and control
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, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in physics
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full-time, benefited position. The successful applicant will primarily work on the DUNE experiment and play a leadership role within the DUNE Photon Detection System consortium, including playing a key
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and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Participate in new and ongoing research on quantum integrated photonics. Formulate
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, United States of America [map ] Subject Areas: Physics / Atomic, Molecular, and Optical Physics , Experimental Ultrafast Physics , Metrology , Optics and Photonics , Quantum Optics , Quantum Sensors , Ultrafast Science