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The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. We are in search of an Electrical/Computer Engineer to help us design, analyze, test and deploy pioneering electrical and electromechanical systems.
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The Department of Electrical Engineering and Computer Science (EECS) in the Jerome J. Lohr College of Engineering at South Dakota State University (SDSU) invites applicants for a 9-month, full-time, benefits-eligible, tenure-track faculty position at the academic rank of Assistant Professor in Computer Science with a tentative begin date of Spring 2024.
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Education Preferred: Master's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Degree : Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning. Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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Qualifications: MS/MA in Business Administration/Management, Accounting, Finance, Math Economics, Computer Science or Management Information Systems (MIS) and 1 year of experience or BS/BA in Business Administration/Management, Accounting, Finance, Math, Economics, Computer Science or Management Information Systems (MIS) and 6 years of experience.
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Related curriculumSuccessful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance.
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PhD in computer science, computer engineering, information systems, Medical Informatics, Bioinformatics, life sciences or related discipline with 8+ years' data science experience.
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Candidate must have significant experience in the development and application of remote sensing algorithms for the retrieval of land surface temperature, land evaporation, and soil moisture from satellite observations and have a working knowledge of computer and graphical user interfaces and database storage systems for collection/retrieval of data.
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Computer information technology-related disciplines include but are not limited to programs/majors such as Computer Science, Computer Engineering, Data Science, Decision Science, Information Science, Information Management, Information Systems and Technology Management.
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This position is part of a collaborative STEM hiring initiative between the Departments of Biological Sciences, Chemistry and Biochemistry, Mathematics and Computer Science and Physics in the broad areas of applied science and/or engineering, including: computer science, electrical, cybersecurity, systems, materials science, bio-analysis, sensors and sustainability.
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B.S. degree in computer science, bioinformatics, computational biology, bioengineering, mathematics, statistics, or related discipline. PhD or Master's degree in computer science, computational biology, systems biology, bioinformatics or related scientific discipline.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Master's degree or higher in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree.
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An advanced degree (master's or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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computer science jobs Title: database administrator Company: Deloitte
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