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machine learning, big data, econometric methods and working with unique data sets. Prinicipal Duties and Reponsibilities Perform analysis of large-scale quantitative and qualitative datasets as part of
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any additional items such as incentives, bonuses, clinical compensation, or other items. NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu
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Qualifications Bachelor’s Degree in a science-related field or Engineering to include: Aerospace, Biosystems, Chemical, Civil and Environmental, Computer Science and Software, Electrical and Computer, Industrial
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23 Feb 2026 Job Information Organisation/Company Instituto Politécnico de Setúbal Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
-world policy applications to equip students with the knowledge and tools needed to engage with AI at both strategic and operational levels. Students will learn how modern machine learning models work
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). Experience applying statistics and Machine/Deep Learning to real-world data. Experience working with manufacturing process data, robotics systems and/or metrology data (sensor data, quality data, measurement
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/Administrative Internal Number: 7001264 SHRA Temporary Facilities Engineer University Information: The University of North Carolina Wilmington, the state's coastal university, is dedicated to the integration
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or co-teach two core undergraduate design courses each year, including introductory-level Fundamentals of Engineering Design and one section of Engineering Capstone Design Projects; with the opportunity
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process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support process and
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excellence and student learning. Among the key duties of this position are the following: Works collaboratively with faculty, academic leadership, and support units to enhance course design, instructional