133 algorithm-"Multiple"-"U.S"-"Prof" "NTNU Norwegian University of Science and Technology" positions at Purdue University
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Details: Senior Data Scientist (P3) Duties: Analyze, manipulate, or process large sets of data using statistical software and SQL. Collect and combine data from multiple sources. Clean and manipulate raw
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research with computer programming Knolwedge of data structure and algorithms, machine learning, and artificial intelligence Skills in big data analysis Additional Information Professional references will be
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Learning Develop computer graphics and machine learning algorithms (e.g., SLAM and Gaussian Splatting), and evaluate their accuracy in scene reconstruction and camera trajectory estimation using videos
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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical
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assigned. Required Qualifications: Proficiency on multiple social media platforms. Current Purdue student, Freshman/Sophomore/Junior, in good standing Minimum of 1 semester experience on campus, preferably
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variety of outreach and educational programs. Evidence of strong organizational skills and ability to complete multiple tasks in a busy environment. Demonstrated ability to identify and resolve complex and
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, weekly seminars, and any other support essential to the success of the CERIAS Center. This position will interface and coordinate with multiple internal and external clients including faculty, staff
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strong organizational skills and ability to complete multiple tasks in a busy environment. Demonstrated ability to identify and resolve complex and sensitive problems creatively and efficiently with
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related to research requirements of Purdue University Must be able to handle interruptions, balance multiple and varied tasks, and hendle confidential information with discretion Ability to work
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk