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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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include: (1) implementing light–matter interaction in CFD via the radiation transport equation and suitable attenuation models; (2) integrating kMC-based surface kinetics through machine-learning surrogate
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and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
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, and streaming media production. Ability to work in consultation regarding online instructional materials. Ability to learn new procedures and operation of technology. Email to a Friend https
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of physics- informed machine learning and deep learning, with applications to inverse problems in scientific imaging and the modeling of complex physical systems. The overall goal is to integrate the knowledge
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational
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Science (Ref: FST241110) Job Description Candidates with expertise in one or more of the following areas: Database Management Systems, Programming Languages, Machine Learning, Data Mining, Data Processing
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences