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member at St. Thomas . The School of Engineering actively seeks to attract, retain and develop faculty, staff, and students from all backgrounds to enhance the diversity of the learning community, and to
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Modeling and Analysis, Investment Banking, Mergers and Acquisitions, Financial Technology (FinTech), Cryptocurrency and Blockchain, Artificial Intelligence and Machine Learning in Finance, Programming
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Usability evaluation Geographical and spatiotemporal data on environmental and socioeconomic context Ideal expertise/experience includes: Advanced machine learning (deep learning, representation learning
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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candidate will hold a PhD in geosciences, applied machine learning, data assimilation, or applied mathematics. The selection will be based on the following scientific and technical criteria: Experience in
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an increase in coordination in the protection scheme. This PhD project seeks to address these challenges through comprehensive electromagnetic transient (EMT)-type computer simulations by developing
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to the subject of the course. To teach at the graduate level, faculty should hold an MS or PhD in computer science or a closely related field, or a Bachelor's degree in CS or a related field combined with
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, graduate students, staff and other collaborators. The Research Scientist I will be responsible for leading and facilitating artificial intelligence (AI) and machine learning (ML) research projects
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Simulation is responsible for leading strategic planning, implementation, and evaluation of innovative simulation and immersive learning experiences across nursing programs. This role ensures alignment with
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minimizing computational and energy costs. The proposed approaches will rely on machine learning methods applied to image analysis, with the objective of enabling early identification of at risk areas and