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a 2025/2026 internship for ECE major undergraduates to work with ECE Faculty on topics related to Signal Processing, Microwave, Hardware, Machine Learning, Antennas, and Sensing. Plesae contact
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aspects of research, conducting field research and development of physics guided machine learning models. The primary project focuses for this Part Time Research position deepening the understanding
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of science to non-science majors through the Mendel Science Experience program. The Fellow will teach a laboratory science course for non-science-majors on “Animal Minds” and develop undergraduate
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colleague will teach core undergraduate courses in communication theory in addition to elective courses (existing or new) that complement their area(s) of research specialization. The position involves a 3-3
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sampling of the parameter space of eclipsing binary observables, most notably photometric data from NASA’s Kepler and TESS missions. In parallel, the applicant will be given an opportunity to teach
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motivated with strong written and oral communication skills. Preferred Qualifications: Experience with first-principles calculations, DFT, Machine Learning, HPC. The individual is expected to actively pursue
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machine learning models to integrate real-time monitoring data. Collaborate with colleagues in computer science and computer engineering to develop models. Contribute to the dissemination of research
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2026) and teach (in fall 2027) a new Mendel Science Experience course on watershed science and sustainability. Additional teaching in subsequent semesters will include Mendel Science Experience courses
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methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise related to compact
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will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach