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Preferred majors include, but are not limited to; Business Administration, Business Management, Information Technology, Computer Science, Data Science, Data Analytics, Business Analytics, Statistics, Healthcare Administration, Public Health, Health Informatics, Industrial/Organizational Psychology, Organizational Development, and Human Resources Management.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Bachelors degree in Computer Science or related field or equivalent education and related training. Conduct cyber investigations for escalated and challenging computer security incidents using computer forensics, network forensics, root cause analysis and malware analysis.
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Minimum BS Electrical Engineering, Computer Engineering, Physics, or Computer Science; JD; state bar, Patent Bar. Must have at least 1 year full time patent experience. Minimum BS Electrical Engineering, Computer Engineering, Physics, or Computer Science, preferably graduate degree and/or prior engineering experience.
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Bachelor's degree or equivalent education and related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering.
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7 years of related experience with a Masters' degree in Optics, Optical Engineering, Applied Physics, Computer Science, Software Engineering, Machine Learning, Systems Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related degree.
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Degree must be earned in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline.
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Prior experience developing highly interactive museum exhibit components; fluency with Adobe InDesign, Illustrator, Photoshop, Vectorworks, Sketch-up and CAD Tools as well as project management software.
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Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. Master's Degree in Computer Science.
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A Master's degree in higher education administration, career counseling, business or computer science, or related area, and seven (7) years of relevant full-time experience after completion of that degree, or.
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Must have a Bachelor’s degree in Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning or a related field and 5 years of progressive, post-baccalaureate advisory and/or consulting work experience.
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ORA Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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The Medical Science Liaison (MSL) program is specifically designed to meet these needs through a field-based group of medical professionals with deep content knowledge about specific disease states, Lilly and competitive compounds and landscape in the therapeutic areas they represent.
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Leverage various state-of-the-art tools and technologies afforded by computer science, including Artificial Intelligence, Machine Learning, Digital Signal Processing, and Algorithms to best shape the experiences.
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Create and present training sessions to internal groups related to the use of the Third Party Risk Management system. Critically review business relationship submissions in the Third Party Risk Management Gateway, the system used to clear potential business relationships within specified time frames.
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