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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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Minnesota State Community and Technical College | Moorhead, Minnesota | United States | about 20 hours ago
teach competency-based curriculum to provide classroom theory and laboratory application to prepare students for positions in the Computer Programming field.Teaching related courses within
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/certification? NA Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft Outlook Required Other Computer Applications: NA Required Additional Knowledge, Skills and Abilities: Orientation
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-resolution (SR) technologies influence human and machine-based facial identification. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: 1. Do SR
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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People Development Associate Title: People Development Associate Location: Midtown Org Unit: Office Of Learning & Development Work Days: Weekly Hours: 35.00 Exemption Status: Non-Exempt Salary Range
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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Ability to use larger machines, to include but not limited to table saw, band-saw, lathe, mill, drill press, grinder, belt sander, break, and shears Ability to train, instruct, and assign work to employees
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algorithm. Basic principles of mathematical optimization. Fundamentals of machine learning and deep learning. It will be assessed: Have completed or are currently completing a degree in Data Science and
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models