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A master's degree 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-computer science, information systems and decision sciences, or computer information systems will substitute for one year of the required experience.
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Currently pursuing a degree in Data Science, Statistics, Computer Science, Economics / Econometrics, Chemical Engineering, or related field with an emphasis on machine learning or statistical methods for data analysis.
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Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field. Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field.
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PhD in economics, math, quantitative finance, computer science, data science or a related field. You have a MS in economics, math, quantitative finance, computer science, data science, or a related field.
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Masters degree in Engineering, Management Information Systems, Information Technology, Information Science, Business, Computer Science, Mathematics, or related quantitative science field with 8-10 years experience as a GEOINT Quality Test Engineer on programs/projects.
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Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
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Visiting Assistant or Associate Professor of Engineering or Computer Science (One year, Non-Renewable) The Department of Engineering and Computer Science invites applications for a full-time position as Visiting Assistant or Associate Professor of Engineering or Computer Science.
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Job Segment: Cloud, Embedded, Computer Science, Data Center, Engineer, Technology, Engineering. Bachelor or Master's degree in Computer Science or Computer Engineering with hands-on PM/Development experience in AI/ML architecture and Gen AI software & applications (e.g., LLM-based chatbots, AI vision, video/image analysis/detection, digital twins) is desirable.
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A Ph. D. in psychology, cognitive science, neuroscience, computer science, or a related. Maryland Language Science Center (MLSC), Computer Science, the Social Data Science Center, the National.
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Bachelor’s Degree in Computer Science, Computer Engineering, Computer Information Systems, OR Computer Systems Engineering. Certified Ethical Hacker (CEH), Windows/Linux Admin, Cloud SIEM, CISSP, Security+, Network+, Cisco Certified Network Professional (CCNP), Cisco Certified Security Professional (CCSP.
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Search #: 496807 Work type: Full-time Location: Storrs Campus Categories: Faculty Lecturer INTRODUCTION The Department of Computer Science & Engineering at the University of Connecticut invites applications for a non-tenure track position at the rank of Lecturer at the Storrs campus.
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A technical degree (e.g., electrical engineering, computer science/engineering, chemistry, biology, biomedical engineering) is strongly preferred, along with significant experience handling substantive patent issues.
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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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MSc or above in Computer Science, Cognitive Science, Neuroscience, Biomedical Engineering or related field is preferred. A range of laboratory methods will be used across projects, including functional and structural magnetic resonance imaging (MRI), electrophysiology (EEG), physiological measures (e.g., actigraphy, heart rate, respiration), computer-based tasks, and eye-tracking; additionally, ecological assessments, including experiential sampling and cognitive burst sampling will be used to capture behavior outside the lab.
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College of Engineering & Computer Science: cecs@utrgv.edu. test score of 500 (computer-based of 173 or internet-based of 61) on the Test of. The retirement plan for this position is Teacher Retirement System of.
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computer science jobs Title: computer teacher Company: Arkansas Department Of Education in Castle-rock, Colorado
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