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Computational/Mathematics Mathematics (more...) Statistics / Statistical Physics , Applied Statistics , Biostatistics , Casual Inference , Causal Inference , Data Science , Engineering , Life Science , Machine
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vision Special Instructions We highly recommend reviewing our department website’s Faculty pages to learn more about our faculty, their labs, and their research interest before applying. Please apply
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Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Contact Information
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for data science, artificial intelligence, and machine learning courses. The Preceptor will be responsible for assisting instructors of large AI-related courses for master’s and undergraduate students
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/ML fields like Natural Language Processing, Computer Vision, Reinforcement Learning, generative models, or a strong interest in exploring them. Basic data preprocessing, feature engineering, and model
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determine re-certifications, upcoming initiatives, and computer skills training. Develops an annual training calendar, working with Learning and Development Program Manager to determine topics that will be
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applications from women and underrepresented groups. Minimum Number of References Required 2 Maximum Number of References Allowed 4 Keywords research, oral health, health policy, data, machine learning
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use for extended periods of time Lifting (approximately 20 to 30 pounds), bending, and other physical exertion Qualifications Basic Qualifications: Bachelor’s degree or equivalent work experience
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or Bachelors Degree in Hospitality Management or related field. Strong record of business acumen including financial and human resource management. Ability to learn and adapt to new computer systems and
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, organizational, and time management skills required. Demonstrated proficiency with various computer software systems and applications such as Microsoft Office (Word, Excel, Outlook) and web-based applications