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Machine Learning, Computer Vision, and Data Science Internship. Experience in developing AI solutions for any of the following domains: Computer Vision, Medical Image Processing, Geo-spatial Intelligence, Natural Language Processing (NLP) or Signal Processing.
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A Ph. D. in accounting, business administration, economics, engineering, finance, industrial/organizational psychology, human resources, political science, public administration, social work, statistics, computer science, management information systems (MIS), quantitative business analysis.
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Graduate degree in psycholinguistics, linguistics, cognitive science, computer science, or a related field. Graduate-degree-level knowledge of psycholinguistics, linguistics, cognitive science, computer science, or a related field.
$99,800 - $127,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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Degree must be in Network Engineering, Systems Engineering, Information Technology or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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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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Master’s degree in computer science, computer engineer, electrical engineer, mechanical engineer. Bachelor’s degree in either of the following: computer science, computer engineering, electrical engineer, mechanical engineer.
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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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The Applied Research Laboratory's Geospatial and Imaging Division is searching for its Imaging Science and Computer Vision Department Head! Apply the scientific method across multiple disciplines to advance Image Science and Computer Vision and develop automated analytics through systematic experimentation.
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Master’s Degree (MS) in Computer Science, Geography, Natural Resources or Wildlife Biology with emphasis in GIS and Remote Sensing or in a closely related field. Bachelor’s degree from an accredited college or university with major course work in Information Technology, Computer Science, Geographic Information Systems, Remote Sensing, Wildlife Management, Wildlife Ecology, Geography or a closely related field.
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Ideal candidates will have a minimum of a Bachelor'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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Position Title Assistant or Associate Professor - Computer Science, Robotics About the University Western Washington University, with over 16,000 students in seven colleges and the graduate school, is nationally recognized for its educational programs, students and faculty.
$99,000 - $103,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The candidate must have IP experience with drafting and patent prosecution, a computer science, electrical engineering, or similar (advanced degrees and/or work experience prior to law school/agency exam strongly preferred), and USPTO membership.
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Requires a PhD in related field or equivalent industry experience in related field such as Bioinformatics/Biomedical Engineering/Data Science/Computer Science/Statistics/Applied Math or related majors.
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At this time, we are seeking 2 Computer Science Interns to join our program in Vicksburg, MS and Jackson, MS as a part of the collaborative Numerical Model Modernization Project between Woolpert, USACE ERDC Coastal and Hydraulics Lab and Jackson State University.
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computer science jobs Title: database administrator Company: Raytheon Technologies
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The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
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For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.