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Bachelor’s degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
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Someone with BA/BS degree in computer science and 10+ years of proven work experience in the cloud technologies with the focus on AWS & Azure, including understanding of SAAS, PAAS, and IAAS models; AWS Control Tower.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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U) Note 2 - Examples of related disciplines include: Chemistry, Computer Science, Information Systems, Mathematics, and Physics. (U) Note 1 – Examples of Qualified engineering fields include: Aeronautics, Biomedical, Chemical, Civil, Computer, Electrical, Environmental, Mechanical, Nuclear, Software, Systems, and Engineering Management.
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Masters in a quantitative discipline, e.g. computer science, engineering, astrophysics, bioinformatics with strong scientific computing and/or mathematics background. The successful candidates will work at the cutting edge of modern science in collaboration with DSAI affiliated faculty at Johns Hopkins University (JHU) on projects ranging from consulting and short-term service engagements to large, multiyear AI and data science initiatives and applications.
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Strong background in genomics, bioinformatics computer science, bacterial or viral genetics, and/or computational biology. Candidates must have completed a Bachelor’s or Master’s degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area.
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Bachelors degree in Computer Science, Information Assurance, Information Security System Engineering, or related discipline from an accredited college or university is required. Our Information Systems Security Engineer (ISSE II) earns between $143,800 - $215,000 yearly.
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Advanced degree (PhD or Masters) in Computer Science, Computational Linguistics, Mathematics, or related fields. Strong knowledge of NLP and/or computer vision with deep learning experience.
$140,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Minimum Qualifications Masters in a quantitative discipline, e.g. computer science, engineering, astrophysics, bioinformatics with strong scientific computing and/or mathematics background.
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Bachelor's degree with 14 years of experience, A Master's degree with 12 years of experience or a PhD with 9 years of experience in Electrical Engineering, Computer Engineering, Computer Science, Applied Physics, Applied Mathematics, or related technical fields.
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Bachelor's Degree (Computer Science or related field) and 4-7 years' experience (IT infrastructure design, application design, [cloud computing], disaster/recovery, etc.) The Sr. Systems Engineer will be expected to provide technical leadership to support delivery and maintenance of IT solutions supporting Exelon.
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Coordinate between the System Architect, Chief Engineer, Product Team Lead(s), ALS program SEIT leads, program management office, and customer to ensure the integrity and executability of the program technical baseline.
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GAM1 is seeking qualified remote scientific programmer and software engineer candidates to support NOAA’s Application and Science Common Services Support (ASCSS). BS degree or higher with formal course work in physics/ mathematics/ computer programming/ remote sensing.
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Advanced technical degree in mathematics, electrical or aerospace engineering, physics, computer science or equivalent. Bachelor's degree in mathematics, electrical or aerospace engineering, physics, computer science or equivalent.
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The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space.
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computer science jobs Title: engineer in Baltimore, Enfield, Connecticut
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