227 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at The University of Alabama
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Department Computer Science Rank Instructor Position Summary The Computer Science Department is seeking a qualified and enthusiastic instructor to teach ENGR 104: Introduction to Engineering. This
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- Computer Science Normal Work Schedule: Varies; Monday - Friday 8:00am to 4:45pm Job Summary: The Undergraduate Student Assistant provides general office support for the Department of Computer Science. Assists in a
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; Some nights and weekends Job Summary: The OLLI Program Director oversees all aspects of the Osher Lifelong Learning Institute (OLLI) at The University of Alabama that offers members intellectual and
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, Geography, Civil Engineering, Computer Science, Mathematics, Physics or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning
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Job Summary: The Undergraduate Research Program Manager develops, plans, and executes several student-oriented programs within the Office for Undergraduate Research (OUR) including all aspects
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; occasional nights and weekends. Job Summary: The First Generation Program Manager develops and manages programs supporting first-generation students including marketing programs and recruiting participants
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related fields to offer courses in our Master of Public Administration program. Minimum: PhD in Public Administration, Public Policy, Political Science, or a related field; with some experience teaching at
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of projects or assignments you have completed using a programming language and/or teaching related to a programming or software. Job Summary: The University Libraries Research Computing Student Assistant
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background; broad knowledge of materials ranging from metals, ceramics, composites, to polymers. PhD in a STEM discipline. Extensive knowledge of electron microscopy, atom probe, spectroscopy, and related
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in