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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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to comply with federal regulations and contract. This level of knowledge is typically achieved through a formal education in economics, operations research, public policy, environmental science, data science
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field. Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications. Proficient in implementing control and optimization
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will require working on-site in Lemont, Illinois, 5 days a week Position Requirements Required skills, knowledge and experience: A recent or soon to be completed PhD within the last 0-5 years Molecular
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, integrity, and teamwork. Preferred Knowledge, Skills, and Experience Experience with THz or mmWave instrumentation and measurements. Familiarity with high-gradient acceleration and wakefield accelerator
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using Python, MATLAB, or equivalent programming languages. Preferred Qualifications • Working knowledge of X-ray optics, detector systems, and beamline instrumentation. • Background knowledge in ultrafast
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, networking, and leadership. Position Requirements This level of knowledge is typically achieved through a formal education in economics, operations research, public policy, environmental science, engineering
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Comprehensive knowledge of imaging systems and/or semiconductor or solid-state detector design and simulation Experience with GEANT4 simulations and detector characterization is highly desirable Familiarity with
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completed in a relevant field of study. Knowledge of x-ray/optical/electron physics, including diffraction, optics, detectors, scattering etc. Experience with deep learning (DL) libraries such as Tensorflow
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or equivalent. Knowledge and experience in electrochemistry, electrochemical engineering, or materials science and the ability to apply research principles from those fields to new systems. Skill in devising and