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extensive knowledge in the areas of statics, dynamics, SolidWorks, geometric dimensioning and tolerancing, and machine design. Preferred Qualifications: Master of Science in Engineering (MS) or Master of
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Minneapolis Community & Technical College | Minneapolis, Minnesota | United States | about 10 hours ago
buildings with computer aided design (CAD) and building information (BID) technology from practicing architects. The college offers the following awards in Architectural Technology: Architectural Technology
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/deploying deep learning models and machine learning applications. Computer skills: Python (PyTorch, TensorFlow), databases (MySQL), 3D Slicer, ITK-SNAP, OpenCarp. Previous experience in research activity in
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degree and or its equivalent. 2-4 years of related experience. Extensive experience using Macs and Windows machines. Knowledge of educational technology, research in the learning sciences, and data
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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in advanced machine learning (e.g., NLP, LLMs, computer vision, mathematical foundations for AI and data science, ML security), and/or proficiency in at least one sensing modality. Although
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preparation and testing or powder mixtures, and then to devise predictive models (possible using machine learning approaches) for the estimation of mixture properties from pure component propeties. The PhD
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protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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across the college, with a focus on first-year, laboratory, and senior design courses. TC faculty integrate written, oral, and visual communication into engineering courses; we also help students learn
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
science, or a related field; experience with using and building machine learning models, developing and validating computational analysis workflows, and developing circuit models is preferred; excellent