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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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including, but not limited to: computer workstation/laptop (keyboard, monitor, mouse), printer, copier, and associated computer/technology peripherals. Qualifications Required Qualifications: 1) A master’s
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physics (e.g., Turing patterns). This will involve: (i) developing new analytical/theoretical tools for the study of reaction-diffusion systems, (ii) performing large scale, machine-learning-assisted
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into analysis-ready format and deploy statistical and machine learning models in the cloud to support visualisations and investigations Manage complex large-scale datasets, ensuring best-practice data governance
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. The role will focus on developing machine learning and mathematical optimization solutions for electric vehicle fleet charging optimization under different constraints. Key Responsibilities: Formulate
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intelligence, machine learning, and more. Learn more about our program at https://datascience.uchicago.edu/education/masters-programs/ms-in-applied-data-science Job Summary The job develops teaching materials
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Computer Engineering or a related field completed within
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machine learning, data analysis, and model implementation using R and/or Python. PhD in a health-related discipline required. Candidates with backgrounds in pharmacy, pharmacoepidemiology, or related fields
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
computer system, process, and policy counsel to ALL grant and research administrators (even Big 5 staff if they need assistance) throughout the College. At this time, the Accounting Division primarily
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functions of this job. Work is primarily performed in a standard office environment with use of a computer and telephone. Occasional standing, walking, climbing stairs, bending, stooping and reaching. Hiring