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Key Functional Requirements & Qualifications: Advanced degree (PhD) in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences.
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Requirements Doctorate in Physics, Electrical Engineering, Applied Mathematics, or a related field. Applicants must have a broad knowledge of physics as it is often applied in a military or intelligence context, e.g. electromagnetic propagation and interaction with matter, aerodynamics, lasers, optics, etc.
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A master's degree in engineering, physics, applied mathematics, or a physical science with six months or more experience in modeling low frequency electromagnetic applications based on numerical methods, such as the finite element method or similar.
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PhD in applied mathematics, computer science, physics, computational biology or other quantitative disciplines. Expertise in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem.
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An advanced degree (master’s or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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Masters Degree or higher in Electrical Engineering, Computer Engineering, Cybersecurity Engineering, Mathematics, Engineering Physics, Systems Engineering, Computer Science, Software Engineering, or similar field.
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Master’s degree or higher in Systems, Aerospace, Mechanical, or Electrical Engineering, Physics, Mathematics, Computer Science, or related fields. The GNC System Architecture group at Draper is seeking a Senior Systems Engineer to develop and manage GNC requirements and interface specifications for guidance, navigation, and control (GNC) systems in mission domains such as: strategic defense systems, hypersonic and space systems, precision guided munitions, and autonomous air/sea vehicles.
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Typically requires a minimum of 8 years of related experience with a Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, Mathematics; or 6 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of related education and work experience.
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BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, Physics, Mathematics, or similar field. Understanding of Cloud Computing techniques, methods, and best practices to include Amazon Web Services, Microsoft Azure, Google Compute Platform, and Kubernetes.
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E, biology, history, chemistry, economics, physics, English, mathematics, engineering) We work tirelessly every day to ensure each child in NYC has access to a fun, rigorous, whole-child education regardless of zip code or economic status.
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Basic requirements: Bachelor's Degree in Computer Science, Engineering, Mathematics, Physics, Systems Engineering, Software Engineering, or related field, 5 + years applicable systems engineering experience; or an equivalent combination of related education and work experience.
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A minimum Bachelor of Science degree in Computer Science, Electrical and Computer Engineering, Physics, Mathematics, or similar technical field. Strong knowledge of user interface design concepts and user experience (UI/UX) design.
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Working towards a technical degree such as a Bachelor of Arts (BA) or Bachelor of Science (BS) in Electrical Engineering, Computer Engineering, Computer Science, Mathematics or Physics. Interest in learning to work with lab equipment (signal generator, VNA, spectrum analyzer, power meter, oscilloscope, audio precision.
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B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. Authoritative experience with object-oriented programming, compiler or interpreter technologies, embedded systems, operating systems, relational databases (RDBMS), scripting and new/advanced programming languages.
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Possessing an extensive understanding of computational chemistry and the AI-based methods employed in this domain. Extensive knowledge and understanding of computational chemistry and the AI-based methods utilized within the field.
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