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service oriented environment. Experience and advanced computer skills including MS Word, and Excel. Skills in financial/budgetary principles and theory as well as skilled in projection development
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technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will work in close cooperation with our current PhD students
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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that address real-world challenges and deliver positive business outcomes. The Institute for Insight is equipped with a computer cluster that includes multiple GPUs, designed for big data analytics for both
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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 Reporting to the Director of Academic
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, development, and maintenance of research software solutions to accelerate research and outcomes within TransiT. The RSE will allocate a portion of time to training and mentoring the large PhD/Postdoctoral
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, data analysis, or energy research (postdoctoral experience preferred for senior roles). Technical Skills: Proficiency in Python, R, or MATLAB Experience with time series forecasting, machine learning
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the public at large. Any other assigned duties Requirements: Candidates should be passionate about teaching and learning, hold a PhD or at least a Master's degree in related disciplines, and have
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. The student will perform ‘big data’ analysis of patient cohorts including time-based evaluation of the impact of introducing CT-FFR as a national health intervention into a healthcare system. Exploratory