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/Communications Internal Number: 283766810 Program & Events Administrator US-NY-Brooklyn Job ID: 2026-15389 Type: NYU Tandon School of Engineering (PE1001) # of Openings: 1 Category: Marketing/Advertising/Public
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engineering, or another related field Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches Excellent knowledge of programming in Python and scientific libraries used
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sensing, engineering, or a similar relevant field. Demonstrated experience in applied machine learning. A background or strong interest in probabilistic machine learning, causal inference, or time-series
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able to teach in Swedish after two years. - A completed doctoral degree in Mechanical Engineering, preferably with a focus on additive manufacturing and/or material science, or equivalent scientific
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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positions in the area of Artificial Intelligence (AI) and Machine Learning (ML) in Drug Discovery. This is a unique cluster hire initiative spanning the College of Pharmacy, Life Sciences Institute (LSI), and
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust, interpretable models from experimental and operational data
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team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard