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The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
$106,590 - $139,650 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Understanding of semiconductor device physics. Bachelor, Master or Doctorate degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry.
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Strong knowledge of cross-sectional anatomy, pathophysiology and magnetic resonance physics. At Virginia Mason, our team excels in routine imaging and provides opportunities to perform advanced scans including Breast, Cardiac, Spectroscopy, Perfusion, MRI, Elastography, and MRI Guided procedures.
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Our research expertise is in ocean physics and engineering, ocean and medical acoustics and imaging, polar science, environmental remote sensing, and signal processing. Diversity is a core value at the University of Washington and the Applied Physics Laboratory shares this commitment.
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Ph. D. in Computational Physics, Applied Physics, Applied Mathematics, Computer Science, Biological Science (e.g. Cell Biology, Biophysics, Bioengineering), or related science or engineering field; OR equivalent combination of degree and experience.
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Collaborate in a team environment across a diverse set of disciplines including Electrical Engineering, Mechanical Engineering, Materials Science, Chemistry, Physics, and Optics. Ph. D. degree or equivalent experience in Polymer Physics, Polymer Material, Polymer Engineering, Chemical Engineering, or a related field.
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Master's degree or PhD in electrical engineering, particle physics, nuclear physics, or astrophysics. Bachelor's degree in electrical engineering or physics. Experience with meteoroid/orbital debris, electron/proton/x-ray transport, and atomic oxygen calculations.
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Master’s degree in engineering, hydrographic science, physics, oceanography, Geographic Information Systems, or closely related discipline and a minimum of 8 years of directly related experience; or a Bachelor’s degree + 6 years of experience relative to the specific position; or 12 years of directly related experience.
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Scientist I Machine Learning for Generative Shape Modeling - Careers at Allen Institute Back To Openings Scientist I – Machine Learning for Generative Shape Modeling Department: CS - Computational Cell Science Start Your Application Scientist I – Machine Learning for Generative Shape Modeling.
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Boeing Commercial Airlines has an exciting opportunity for an Machinist Assembler Precision in Machinist department located in Tukwila, WA. Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
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Knowledge of device physics, statistical data analysis, and knowledge with imaging process. Masters or PhD in Electrical Engineering, Optics, Physics, or a related discipline. BS in Electrical Engineering, Optics, Physics, or a related discipline.
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Bachelor of Science in Chemical Engineering, Mechanical Engineering, Electrochemistry, Chemistry, Physics, or related technical subject areas. Experience with MATLAB/Simulink, Thermal Desktop, ANSYS, Sinda/Fluint, including model validation and test correlation.
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Our research expertise is in ocean physics and engineering, ocean and medical acoustics, polar science, environmental remote sensing, and signal processing. The Mechanical Engineer-Senior, Ocean Technology (senior level) in the Applied Physics Laboratory’s Ocean Engineering Department will be responsible for the design, construction, testing and field deployment of specialized mechanical systems for oceanographic, marine renewable energy and acoustic research.
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The candidate must hold a Ph. D. or foreign equivalent in Materials Science, Applied Physics, Physics, Electrical Engineering, Physical Chemistry or related fields. The major areas of research currently include theoretical and experimental optical, electronic, and magnetic materials, polymers, ceramics, composites, nanomaterials, energy materials, quantum materials and devices, biomaterials, medical devices, additive manufacturing, data science of materials, and computational materials science.
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Solid understanding of mechanical engineering fundamentals: properties of materials, solid mechanics, statics, Newtonian physics, and heat transfer. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
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physics job Company: Boeing in Bellevue, WA
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