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BS degree in one or more following disciplines: Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Informatics, Symbolic Systems, Mathematics, or Physics.
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We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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More information about the NPNL can be found at The ideal candidate should have, or will soon have, a bachelor’s or master’s degree in Neuroscience, Computer Science, Biomedical Engineering, or a related field.
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B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master s degree or equivalent graduate degree including certificate-based advanced training courses.
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Bachelor’s Degree in applicable discipline such as software engineering, computer science, computer engineering, electrical engineering, data science, cyber security, mathematics, or aeronautical engineering.
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Innovative Defense Technologies (IDT), provider of automated software testing, data analysis, and cybersecurity solutions for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Software Engineer to be based in our Mt. Laurel, NJ and/or Arlington, VA offices.
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The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering.
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L16 and LPDS software development experience Bachelor’s or postgraduate degree in electrical engineering, electronic technology, computer science or another similar technical discipline Must be able to obtain a US Secret Security Clearance Bonus points for A US Government Secret Security Clearance Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment.
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Master's degree in Engineering, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Expert level experience as a Cyber Security Engineer.
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M.S. or Ph. D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required. Experience with deep learning frameworks such as PyTorch and TensorFlow, NLP, Large Language Models, Generative AI, Langchain, Transformer models or related areas is a big plus.
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Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.
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Experience with cloud computing services such as Microsoft Azure, Amazon Web Services and/or Google Cloud Platform Familiarity with different data science techniques: statistics, machine learning, or cognitive AI. Minimum Qualifications, Knowledge, and Skills Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field.
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