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The current focus is to take advantage of coherent and ultrafast x-rays to observe, under controlled conditions, the fundamental mechanisms of structural evolution in quantum materials, materials for energy, and materials for microelectronics.
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Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.
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About the Department of Physics and Energy Science at UCCSOur department conducts a broad range of experimental and theoretical research in the areas of Solid State and Quantum Physics, Magnetism, Nanotechnology, Liquid Crystals, and Bio-Physics.
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Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.
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We apply advanced technologies such as Artificial Intelligence, Blockchain, AR/VR, Cloud Native and Quantum Physics to solve our customers missions in cyber, RF, undersea, interstellar and everything in between.
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Familiarity with ultra-high vacuum and cryogenics General-purpose programming (e.g., Python) CAD design (e.g. SolidWorks) Familiarity with experimental quantum, atomic, or molecular physics is not required but is a plus At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance.
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Proficiency in all phases of PCB design, including: creation of high-level functional and architectural diagrams, SPICE analysis, power analysis, component selection, schematic entry (OrCAD Capture experience a plus), and working with the PCB layout team to optimize placement, signal integrity, fitment, etc.
$107,520 - $119,280 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in analog and digital circuit design including signal integrity principles. Proficient using electrical engineering computer-aided design (CAD) tools and mixed Signal circuit analysis/design.
$107,520 - $119,280 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with electromagnetic theory, quantum mechanics, and fluid dynamics. + Masters or PhD in physics, applied mathematics, data science, or engineering with relevant project experience.
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Competence in utilizing thermal analysis techniques (DMA, TMA, TGA, DSC) properties. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. We are seeking mid-career to senior level Materials Engineers to join the Signature Management & Technology Team. At Raytheon, you will be part of a team whose responsibilities span the full product life-cycle: from requirements alignment, conceptual design, modeling and analysis, component/vehicle level RCS testing, and production integration, support, and maintainability.
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Background in security vulnerability studies and defense-in-depth strategy with existing and emerging technologies - router ACL, firewall, STIGs, Cisco/Arista bug assessments. Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more.
$139,236 - $154,465 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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What You Will DoThe Quantum Group (MPQ) in the Materials Physics & Applications Division at Los Alamos National Laboratory (LANL) is seeking candidates for a Research Technician 2 to support a wide variety of experimental research.
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Cpu, design, embedded, firmware, mems, quantum, semiconductor. Working knowledge of device physics and process technologies. B.S., M.S., or PhD in an Engineering or Physics/EE/Chemistry/Material Science related field.
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Demonstrated experimental experience with one or more of the following specialities: atomic physics systems, diffraction limited optical systems, lasers (from UV to IR), quantum sensors, atomic clocks, vacuum systems.
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Develop a variety of multi-physics multi scale models using density function theory (DFT) and Quantum Monte Carlo (QMC) calculations to improve the atomistic property predictions for semiconductor materials and interfaces.
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