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Must have: A Bachelor of Science degree in Electrical/Control Engineering, Mechanical Engineering, Chemical Engineering, or Computer Science 10+ Years Work Experience Ignition & Rockwell Relevant regulatory requirements of the life science industry such as cGMP, 21 CFR Part 11, etc.
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A bachelor's degree in a quantitative field (e.g., computer science, biostatistics, electrical engineering, bioengineering, computational biology, or related area) or equivalent experience.
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Radar Receiver Exciter integration and test engineers are the liaisons between many Radar system components and are responsible for Radar Receiver Exciter data analysis and calibration, integration of hardware with firmware and software, and resolving system level issues that may stem from software or hardware anomalies.
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Going beyond the existing plant-based burgers, we are developing alternative meat whole-cuts using innovations in materials science, manufacturing and even tissue engineering. BS, MS, or PhD in chemical engineering, food science, mechanical engineering or 8+ years of a proven track record of developing and scaling up similar processing systems (food processing, textile processing, polymer science.
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Expertise in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem. PhD in computer science, applied mathematics, physics, computational biology or other quantitative disciplines.
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Education A Bachelor of Science degree in Electrical/Control Engineering, Mechanical Engineering, Chemical Engineering, or Computer Science is required. This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the client's facility.
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In-depth understanding of HMI/SCADA hardware/software platforms such GE iFIX, Rockwell Automation FactoryTalk View, Inductive Automation's Ignition, and Siemens. In-depth understanding of DCS hardware/software platform such as Emerson DeltaV, Rockwell PlantPAx, or similar.
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Master's Degree in data analytics, data science, computer science, statistics, engineering, economics or related field. Skills and knowledge typically acquired through a Bachelor's Degree in data science, computer science, statistics, engineering, economics or related field and 2+ years' experience.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.) 5+ years of technical skills, preferably experience in manufacturing engineering roles for complex electro-mechanical product industrialization at scale, including machined, sheet metal, injection molded, PCBA, linear motors, LCD, cables, and plastic components.
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Desired Qualifications: B.S or M.S. Degree in Civil Engineering Licensed Professional Engineer (PE), or (EIT) 3+ years of demonstrated engineering design of Land Development Projects Utility Design Site Grading Storm Water Management Systems Zoning Research Permitting Research Proficiency with AutoCAD, Civil 3D software Salary and Benefits: Comprehensive Salary Package.
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Bachelor's degree in Computer Science, Information Assurance, Information Security System Engineering, or related discipline from an accredited college or university. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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In Computer Science, Computer Engineering or a related discipline preferred, Bachelor's degree (or equivalent degree) in Computer Science, Information Technology, or related technical field.
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Ph. D. in Water Resources, Environmental Science, Ecology, Environmental Engineering, or another related field. Strategic business development and client networking with the aim to grow a broad range of science and engineering technical services globally in the water resources arena.
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Ph. D. in Mining and Mineral Engineering, Metallurgical Engineering, Chemical Engineering, Materials Science or a related field. Analyze process data meticulously, ensuring safety protocols and regulatory compliance.
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data science computer software engineering big jobs Company: Apple in Lexington, MA
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