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students on academic advising and other academic matters Respond to unit and student inquiries And other duties as required PhD in Information Systems, Software Engineering, Computer Science, or related
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graduate levels within the MIE department with primary emphasis on simulation, algorithms and optimization, data mining, database management, machine learning, and data analytics, as well as experience in
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algorithms. The candidate should have the following skills: • Strong technical, analytical, and quantitative abilities; • Strong interpersonal, organizational, and communication skills, and the willingness
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. Qualifications: A PhD in Economics or in a related field in hand by the employment start date is required. Documents to Submit: Applicants should submit a cover letter, CV, teaching statement, up to two sample
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appropriate. Qualifications Qualified candidates must have a Ph.D. in PhD in biotechnology or a closely related field and/or a DBA, MBA or equivalent graduate degree with at least 5 years of experience. Work
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to, the following: TELE 6510: Fundamentals of the Internet of Things TELE 5330: Data Networking TELE 6530: Connected Devices TELE 6500: Machine Learning Algorithms for Internet of Things Systems Qualifications: M.S
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Qualified candidates must have a Ph.D. in PhD in biotechnology or a closely related field and/or a DBA, MBA or equivalent graduate degree with at least 5 years of experience. Work experience in biotechnology
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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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such as artificial intelligence, machine learning, data-driven design, algorithmic processes, information design, and data visualization. A full course load with a 1.0 FTE appointment will be three 4-credit
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software development skills. Strong communication and problem-solving abilities. Preferred Qualifications: Master's or PhD in computer science or equivalent degree preferred. Expertise in deploying large