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                Clover Park Technical College celebrates the many individuals that make up our community and embraces the opportunity to learn from our differences and similarities. CPTC values equity and respect we seek 
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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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                may be eligible for an exception to this work arrangement. To learn more, please contact the hiring team, using the contact information below. The role We are looking for a Good Manufacturing Practices 
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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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                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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                , 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