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specifically in Business Analytics & Decision Sciences, and candidates must be able to teach in one or more of the following: core analytics (machine learning, statistics, optimisation, decision analysis
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Analytics & Decision Sciences, and candidates must be able to teach in one or more of the following: core analytics (machine learning, statistics, optimisation, decision analysis); programming for business
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in different programming languages applied in the field of biology; knowledge of machine learning, biostatistical analysis, database creation and implementation; proficiency in English (written and
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13 (5 points); Bachelor Degree classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks
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classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks, Hierarchical Decision and Control Systems with main
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Aid and Scholarships, Office of the Registrar, Office for Veterans and Military personnel, as well as other areas supporting student enrollment. The Division also oversees and provides insight for its
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operate a 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
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, and visualization, time series processing, and machine learning. Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams. 3. Financial component - According
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clinical data and machine learning algorithms. The main activities include: Data Processing: • Collection of historical patient data (demographics, clinical history, outcomes of interventions). Data cleaning
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clinical data and machine learning algorithms. The main activities include: Support for AI Model Development: • Collaborating on the training of predictive models under the supervision of the scientific team