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Unlike traditional optics, the company’smetasurfacetechnologyprovidescomplex, multifunctional optical performance in a single semiconductor layer,relocatinglarge-scale production of optics to semiconductor foundries that print lenses like computer chips.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) automating Java APIs, AWS Serverless solutions, and Angular front-ends using Selenium and JEST in a financial services environment.
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Pursuing a degree in Computer Science, Data Science, Engineering, or similar field. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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MSc/Ph. D. in Computer Science, Robotics, Electrical Engineering, Physics, Mathematics or a related technical field with a significant component of computer vision and machine learning in the curriculum/research.
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In-depth experience of vulnerabilities, intrusion detection systems, firewall management, network vulnerability analysis, cryptographic theory and practice, incident analysis and response, software testing and security assessment, malicious code and software exploitation techniques, continuous monitoring and event logging, cyber-crimes, computer forensics analysis and computer crime investigation.
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Maintains all unit based competencies Demonstrates knowledge of procedures/theories of PCA and epidural pain management modalities Demonstrates knowledge of procedures/theories of capillary blood glucose testing Demonstrates knowledge of Carney Hospital restraint policy Demonstrates ability to use computer system.
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PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics.
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Bachelor’s or higher degree in Computer Science, Mathematics, Physics, Quantitative Finance, Engineering, Statistics or equivalent field, with significant coursework or equivalent experience in programming, modeling, simulation and statistical techniques.
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Experience as a radiation oncology medical physicist, including clinical experience with linac calibrations and QC, treatment planning system QC and routine use, sealed isotope therapy and radiation safety, IMRT planning and delivery, computer systems quality control, and medical physics program documentation.
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Possess advanced word processing, data entry, data presentation and analysis computer skills. Job Title: Research Analyst Location: Cambridge, MA Duration: 12 months on Contract Top skills: Immunoassays experience and a working knowledge of virology, molecular biology, and/or immunology.
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Performs research and potentially clinical diagnostic molecular imaging testing to include general, cardiac, and PET studies along with the computer interactions associated with these studies, in addition to supporting our Theranostics program.
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Requirements: Candidates should hold a Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field with a background in signal processing. Job Description - Assistant Staff - Signal Processing The RF Technology group seeks a full-time entry-level engineer with background and interest in signal processing.
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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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Perform computer modeling of hydraulic infrastructure including water distribution systems, pumps, sanitary sewers, storm sewers, open channels, bridges/culverts, drainage, and stormwater design.
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computer job in Cambridge, MA
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