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, and training methods - across multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning
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(faculty, students, staff) operating machines and tools for independent research or educational purposes: -Organize and deliver instructional classes for new users of the SEAS machine shop -Instruct users in
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teaching methods and strategies to engage learners, organize and plan instructional content that accommodates diverse learning styles, and devise appropriate assessment tools that monitor student learning
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student-centered learning environment. Computer literacy and the ability to use computer technology in classroom/lab instruction. A willingness to take classes in teaching methods, curriculum development
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, and MR spectroscopic imaging using machine learning; candidates with experience in these areas are encouraged to apply. PREFERRED QUALIFICATIONS: APPLICATION PROCEDURE: Apply online at https
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or willingness to learn quickly. Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML. Familiarity with uncertainty quantification and model
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experience with the integration of computer technology into instruction. Strong communication, organization, interpersonal, and counseling skills Willingness to travel and teach among four campus sites and
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particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module
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Grade Level 45 Salary Range $22.73-37.50/hour Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https://hr.uky.edu/employment
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University’s campus running smoothly and looking its best year-round, and enjoy a benefits package designed for you and your family: Paid Time Off – Generous vacation, holiday, sick, and military leave