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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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0 years of related experience with a Masters' degree in Electrical and Computer Engineering, Computational Science and Engineering, Computer Science, Modeling and Simulation, or related field of study.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Desired Skills Master’s degree or higher in Systems Engineering or in a 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 program.
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Knowledge Sharing & Mentorship: Stay updated on the latest advancements in data science, natural language processing, computer vision, and generative AI research. This role will spearhead advanced data science solutions, focusing on machine learning (ML), Large Language Models (LLMs) and computer vision applications to revolutionize the insured experience and optimize claims workflows.
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The candidate should be willing to work with scientists from crop physiology, agronomy, Extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in a team and independently as needed.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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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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An Associate's degree in public or business administration, finance, political science, business management, communication or related field AND two (2) years of increasingly responsible direct administrative functions such as office management, communications, writing, computer applications, customer service, or municipal government administrative support.
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Undergraduate degree in Human-Computer Interaction, Psychology, Anthropology, Computer Science, Cognitive Science, or a related field OR comparable UX research experience. Graduate degree in Human-Computer Interaction, Psychology, Computer Science, Cognitive Science, Business or a related field.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Applied Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field and six (6) years of experience as a Director, IT Product Management (or closely related occupation) designing, developing, and deploying Java-based Web applications in a High Yield and Credit Alternative Asset Management environment.
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Master’s degree 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 program.
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Our programs include a strong Computer Science core as well as opportunities for interdisciplinary education through cross-disciplinary programs such as the Interdisciplinary Film and Digital Media (IFDM) program and the Computational Science and Engineering (CSE) graduate certificate program.
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PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics.
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Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 6 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
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computer science jobs in Niles, Illinois
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