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: Literature review, data collection, input variable selection, preliminary model building for machine learning based streamflow forecasting. Qualifications: BEng; Very strong ability in coding and ML/DL
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ECSE 223: Model-based Programming; Gunter Mussbacher ECSE 250: Fundamentals of Software Development; Hsiu-Chin Lin ECSE 251: Electric and Magnetic Fields; Milicia Popovich ECSE 307: Linear Systems
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, posters, videos, learner orientation materials, etc. Works closely with the numerous VFMP academic and clinical academic site representation groups to develop and disseminate information accordingly
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for culturing and screening high-fidelity models of functional tissues and diseases. In addition to fundamental capabilities like cell passaging and sample preparation, the platform will facilitate closed-loop
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including direct supervisory experience preferred. Strong knowledge of University Administrative processes. Ability to work independently, organize and manage numerous diverse projects. Proficiency in MS
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functional genomics, CRISPR-based screening, or single-cell technologies. Hands-on experience with next-generation sequencing library prep and tissue culture models. Demonstrated ability to conduct independent
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learning, robotics, laboratory automation, and materials discovery and will be delivered across numerous platforms, including micro-credential programs, academic courses, hands-on workshops, lectures, and
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of food and other products. They will therefore be required to stand, stretch, reach, bend, lift (up to 50lbs) numerous times daily. PLEASE NOTE: These are part-time sessional positions, meaning part-time
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. Conducts engineering design for experiments to develop analytical and numerical models to characterize OOA composite material properties and behaviour. Develop overall specification, design and oversee
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help to realize them experimentally on our quantum simulator. We are especially interested in simulating quantum many-body models relevant to materials science and condensed matter physics. We are also