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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Architecture, Design & Integration experience for engineering systems and software. Bachelors of Science degree in a STEM (Science, Technology, Engineering, Math) discipline with 12 years of experience in systems and product development; OR Master's of Science degree in a STEM (Science, Technology, Engineering, Math) discipline with 10 years of experience in systems and product development; OR PhD in a STEM (Science, Technology, Engineering, Math) discipline with 9 years of experience in systems and product development.
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As the Electro-mechanical Rework Technician and Lab Manager, you will work with the internal mechanical engineering and electrical engineering teams, as well as drive responsibilities related to prototyping, test, and data acquisition.
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We are hiring a talented Senior Data Engineer in roles related to building cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.
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MINIMUM QUALIFICATIONS: S. in Electrical or Electronic Engineering from an accredited university with a focus in signals, communications, RF design or related areas. You’ll work on projects incorporating IoT, data telemetry and remote management systems employing multiple wireless communications technologies, cloud infrastructure, robust design methodologies, and more.
$233,757 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Reviews and analyzes U.S. Navy SSDS Engineering Capabilities and Limitations and U.S. Navy Operational and Tactical doctrine and integrates and conceptualizes the execution of Doctrine optimizing the application of ship's Combat Systems capabilities and limitation in the dynamic operational tactical environment.
$138,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Are you an experienced and highly skilled electrical, electronic, and Supervisory Control and Data Acquisition (SCADA) Technician with knowledge of design and software programming of SCADA systems.
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The Lead Machine Learning Engineer will help craft the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.
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A valid Certified Control System Technician (CCST) certificate, successful completion of an accredited electrical/electronic technician apprenticeship program, or an Associates degree in electronics technology, mechanical engineering or related field may be substituted for up to two (2) years of experience.
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Apply data science, machine learning, network analysis, and other advanced approaches over large datasets to facilitate the detection of fraud and security schemes. Predictive Analytics/Data Mining: (e.g., Python, SAS Enterprise Miner.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This is an exciting opportunity as we combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefit to patients.
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Successful completion of an accredited electrical/electronic technician apprenticeship program or an Associate's degree in electronics technology, mechanical engineering or related field desired for both levels.
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Graduate student, with significant chemistry background, currently pursuing an advanced degree in computational chemistry/biology, mathematics, machine learning, or related field. The successful candidate will work on the integration and use of physics-based and machine learning algorithms for the design and evaluation of molecules with superior pharmacological properties.
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At least 2 years of experience in Data Engineering and 4 years of experience in the Data field. Proficiency in data analysis and visualization tools (e.g., Tableau, Power BI, Looker.
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