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data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written proficiency in English. Excellent communication skills, ability
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discover how we can advance health together. Duke Health Integrated Practice https://careers.dukehealth.org/us/en/dhip Pursue your passion for caring with Duke Health Integrated Practice, which comprises
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paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC
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particular emphasis on integrating satellite LiDAR and UAV data with field observations. Applying statistical modelling, automated machine learning approaches, and artificial intelligence for the analysis and
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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uncertainty, since misclassifications can lead to poor energy management decisions or inappropriate building automation responses. The goal of this project is to design and validate a machine learning framework
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, autonomous, and fast. We're seeking a scientist-engineer hybrid to design the learning layer of our scientific agent platform. You will design the environments, rewards, and domain-specific models that enable
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management, analytics, machine learning, and artificial intelligence. Its objective is to contribute to the advancement of scientific knowledge in the field of data-centric systems by addressing the challenges
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among employees. Rutgers–Camden is recognized as a national model for civically engaged urban universities and was selected by the Carnegie Foundation for the Advancement of Teaching for a Community
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to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard