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Requirements: Employer will accept a Bachelor's degree in Computer Science, Software Engineering, Electronics Engineering or a related field and 6 years of experience in the job offered or in an Application Engineer-related occupation.
$144,560 - $175,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Primarily providing computer Linux support for the Computer Science and Engineering ( CSE ) Department to meet academic, research, and administrative needs for the department and organized research organizations within the department.
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Bachelor's degree from an accredited college or university in computer science, information security, or a related field is preferred; relevant certifications in cybersecurity or data engineering is preferred.
Full-timeRemoteExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. You will collaborate with a talented team of applied science peers to drive scientific impact and with engineering, product, and business leaders to launch your work in production at Amazon scale.
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Bachelor’s degree with a focus in computer and information sciences, engineering, mathematics, computer science, management information systems or other related disciplines. Completion of Officer Training School (OTS), Air Force Academy (AFA) or Air Force Reserve Officer Training Corps (AFROTC.
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Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field and 2 years' experience working with enterprise technology in Azure and Databricks.
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Great educational background, preferably in the fields of computer science or engineering for technical project managers. Proven working experience as a project administrator in the information technology sector.
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BS or MS in Electrical Engineering, Mechanical Engineering, Chemical Engineering or Computer Science with a focus on Process Control. BS or MS in Electrical Engineering, Mechanical Engineering, Chemical Engineering or Computer Science with a focus on Process Control.
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Bachelor’s degree in Computer/Electrical Engineering or Computer Science degree from an accredited university or equivalent related experience. Desired Qualifications: Experience with acoustic digital signal processing.
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A PhD in statistics, mathematics, data science, machine learning, computer science, a related quantitative discipline, or equivalent work experience. Learn new ways to code, answer quantitative questions, and think about challenging science as needed.
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They may choose to integrate areas of the life sciences such as neurobiology, physiology, animal behavior, ecology, or evolutionary biology, and leverage quantitative tools from fields such as machine learning, computer vision, network science, or robotics, and more.
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A degree in any discipline is an advantage: Business Studies, Humanities, Computer Science, Information Systems, Engineering/Science. Passion for process Innovation, advanced technologies and driving capabilities for the future, with a drive to learn software test automation tools and frameworks such as Worksoft, Tosca, UFT, Selenium etc.
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MS or PhD degree with relevant experience in electrical engineering/signal processing, physics, applied mathematics, computer science, or related technical discipline with 5+years of industry experience.
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Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required. Experience creating meaningful data visualizations and/or interactive dashboards that communicate your findings and relate them back to how your insights create business impact using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.
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Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field. You will also mentor and coach your team members, foster a culture of innovation and collaboration, and align the AI vision and data strategy with the business goals and objectives.
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