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the ability to work quickly and accurately. High degree of computer literacy including familiarity with Microsoft Word, Excel, Teams. Ability to learn new software programs such as REDCAP. Organizational and
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models, molecular modeling and simulations, and/or polymer science are preferred but not required. Strong past experience in scientific machine learning. Terms of Appointment: This is a full-time, one-year
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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. Program Contact Want to learn more about the MLEF Program? Register for one of our information session s. Visit our website www.energy.gov/fe/mlef for more information on the MLEF Program. Contact MLEF
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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medicine through discoveries in physics, mathematics and computational science. Please visit laufercenter.org to learn more about the Center and the Carlini lab's research. The incumbent will conduct
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of innovative medical devices enabled by its featured technologies and machines in high precision manufacturing and metrology. The Centre brings together a multi-disciplinary team of over 20 PhD and Post-doc
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graphs, computer vision, and the digital humanities. The goal is to develop an innovative AI architecture that is flexible and extensible enough to serve as a knowledge representation framework for
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computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic lab book · Work in compliance with relevant Health and Safety