411 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Indiana University
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to work in a fast-paced, dynamic environment Seeks to acquire knowledge in area of specialty Highly thorough and dependable Demonstrates a high level of accuracy, even under pressure Possesses excellent
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Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
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requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an
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networks; brand safety and suitability; campaign content, distribution, and effects; consumer behavior) and methodologies (e.g., explanatory social scientific; predictive machine learning; econometric
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requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an
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efforts, with a focus on expanding interdisciplinary undergraduate research and experiential learning opportunities for underrepresented students in undergraduate research and creative endeavors
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computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be
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and internationally through research and creative activity, teaching and learning, and community engagement by offering a distinctive blend of bachelor’s, master’s, and professional degrees. Available
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expanding interdisciplinary undergraduate research and experiential learning opportunities for underrepresented students in undergraduate research and creative endeavors. The Director position is a 12-month
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committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff