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materials according to the Lambert–Beer law, thus enabling an accurate description of PEC device behavior. In parallel, the coupling between kMC and CFD simulations will be achieved through machine learning
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, early detection of degradation, and residual life prediction. The program integrates physical modeling, machine learning, and data fusion techniques to optimize predictive maintenance, reduce operating
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early detection is a need that needs to be addressed using advanced sensors. The candidate will apply machine learning and IA methods to anticipate the evolution of the discharges. This project aims
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About Farmingdale State College: Farmingdale State College is a recognized leader in applied learning. With over10,000 students, FSC is the State University of New York's largest college
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Previous Job Job Title Part-Time Programmable Logic Adjunct Faculty in Electrical and Computer Engineering Next Job Apply for Job Job ID 371643 Location Duluth Job Family Academic Full/Part Time
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Previous Job Job Title Part-Time Digital Logic Adjunct Faculty in Electrical and Computer Engineering Next Job Apply for Job Job ID 371642 Location Duluth Job Family Academic Full/Part Time Part
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Duke is an Equal Opportunity Employer committed
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proposals. Responsibilities Develop, implement, and evaluate new statistical and machine learning methods aligned with the two themes above. Lead and co-author manuscripts in statistical, machine learning
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., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by