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Work with system engineers to decompose item requirements into high-level and low-level software requirements in compliance with DO-178C. Nice to have: Experience in flight control software or a related field Bachelor of Science in Electrical Engineering, Computer Engineering, Computer Science, or related degree ML/Data Science Proficiency with C/C.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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The Scientific Software Engineering & Data Management Group in the X-Ray Science Division (XSD) at the Advanced Photon Source (APS) ( invites applicants for a postdoctoral position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments.
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Our specialties are data science and analytics, data engineering, software engineering, and end-to-end analytic solutions architecture. The Data Scientist should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. data engineering knowledge, moving data between different sources and Databricks.
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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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Bachelor's degree or equivalent practical experience in incident response, computer science, cybersecurity, information technology, software engineering, information systems, or computer engineering.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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Educational background in pharmaceutical sciences, pharmacometrics, mathematics, statistics/biostatistics, computational biology/chemistry, chemical/biomedical engineering, or a related field. Deep knowledge of drug development, pharmacokinetics and pharmacology and basic science skills required.
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Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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Extensive experience in performing population PK and PK/PD analyses using standard pharmacometrics software (e.g., NONMEM, R, Monolix, etc.) Excellent communication Skills including ability to effectively present complex data, development plans and strategies to various audiences in both verbal and written form, steer and influence interpretations (including impact) and conclusions for reports and regulatory documents that are clear and concise.
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Degree (Masters preferred) in Computer Science, Information Systems, Data Science, or related field and 7+ years of experience in data engineering, or an equivalent combination of education and experience.
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Have an Associate’s degree, certification, or other education in electronics/engineering Can interpret electronic schematics and printed circuit board layout Have experience with programming or scripting languages (e.g., Python) for test automation Have experience with data acquisition systems and software Have experience with working in a research or laboratory environment Hold an active Top Secret Level security clearance.
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