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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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PhD or Master’s degree in electrical engineering, biomedical engineering, computer science engineering, statistics, or a related field. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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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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The Talend ETL Developer is a key member of CHIA’s software development organization and our Data Operations and Technology team reporting to the Associate Director of Master Data Management and ETL Design.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Advanced degree in a related field such as Computer Science, Engineering, Mathematics or Quantitative Finance is preferred. Proficient in programming and data analysis e.g., R, Python, SQL. Familiarity with data visualization tools such as Spotfire or Tableau is a plus.
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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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If your background is in Cybersecurity, Computer Science and Engineering, Digital Forensics, Management Information Systems, or Security Information Systems , learn more about CRA.
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What You'll Need: 2+ years of professional experience in engineering mechanics, structural dynamics, and finite element analysis (FEA) with Master of Science or Master of Engineering in Structural Engineering - OR - 0+ years of professional experience in engineering mechanics, structural dynamics, and finite element analysis (FEA) with Doctorate in Structural Engineering Ability to obtain Professional Engineer (PE) or Structural Engineer (SE) registration within five years.
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As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team comprised of DSP, Soft Goods, WHOOP Labs, Firmware, and Data Science. Collaborate closely with Data Science and Research teams to enhance user metrics by developing innovative and creative algorithms.
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Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field.
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Bachelor’s Degree in computer science, engineering or related field required. Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.
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Master's degree in chemistry, biotechnology, biology, engineering or related pharmaceutical science and 2+ years relevant cell processing experience (1+ years direct experience working with cell therapy autologous or allogenic programs) in Manufacturing.
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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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software engineering developer computer data science jobs Title: engineer Company: Morgan Stanley in Boston, MA
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