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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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machine learning pipeline to derive governing equations and boundary conditions for macroscopic crowd models from synthetic and real-world data. Close collaboration with a dedicated PhD student, who is
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computer-aided material development, the finite element method and machine learning Expertise in the simulation of functional materials and mesoscopic systems Expertise and experience in the simulation
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development of secure, scalable, and reproducible machine learning (ML) pipelines and software components that support AI tool deployment in a research setting. This role requires collaboration with data
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Decision Support, the data warehouse team works with campus stakeholders to develop data models and intelligence delivery systems so the campus can achieve a wide range of strategic and tactical goals
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to Understand and Improve Veterinary Infectious Disease Models The interdisciplinary 3RTG Graduate School invites applications for PhD positions in the field of infectious disease research using animal models
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machine learning models to identify novel diagnostic opportunities and improve workflow efficiency. This is a core job profile description and is not reflective of all duties that may be assigned to a
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experience in molecular modeling, virtual screening, quantum chemistry, or machine learning for drug discovery are especially encouraged to apply. Required Skills, Knowledge, and Abilities Strong background in
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models? How can machine learning and computer vision models be adapted to accurately classify the different tool wear mechanisms (like abrasion, adhesion, diffusion, and fracture) from high-resolution
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machine learning models and neural circuits in the brain process states of emotion. The Nair group combines cutting-edge experimental tools with the development of new AI methods to understand and model