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or translational research experience Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: Independent, proactive, and scientifically curious Detail-oriented
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Coast Community College District | Huntington Beach, California | United States | about 19 hours ago
. Qualifications and Physical Demands Knowledge and Skills Requires knowledge of law enforcement codes, policies, and practices related to record keeping. Requires knowledge of law enforcement computer-aided
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Job Description The Academic Counselor - Lead oversees the Graduate Certificate in AI & Machine Learning for Engineering, including academic advising, program management, admissions, recruitment
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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu
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Fraunhofer IGD and the FBN team to safeguard an efficient collaboration and communication between behavioural biologists and computer scientists. The project is part of the KI-Tierwohl project (https://ki
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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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cultural programs 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
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options are NOT available for this position at this time. The Research Associate Data Scientist participates in biomedical research projects using programming, data - mining, statistics, machine learning