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Apply Now Job Summary Developing AI-based wireless communication systems: dataset generation, deep learning model development, and optimization for intelligent precoding in multi-user visible light
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highly motivated and technically skilled Research Laboratory Specialist (Animal Model Generation Technician) to support cardiovascular and regenerative medicine research in a collaborative
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historical maps, soil data, and modern elevation models to locate buried wetlands and model flood risks. Independent Project Management: Manage day-to-day research tasks, troubleshoot workflow bottlenecks, and
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oversight operational initiatives at Michigan Medicine. Responsibilities* Care Delivery Implementation of clinical care model, guidelines, and standards of care at ACU level. Implementation of provider
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artificial intelligence (AI) has shown great promise in helping us identify patterns, make predictions, and drive innovation in manufacturing, understanding how some AI models make their predictions
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* Under the guidance of the professor, students will contribute to: Curate and analyze datasets of superionic conductors' structures and properties. Build and train machine learning models (especially graph
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models, collaborative robotics, multimodal interaction, AR/VR interfaces, and cognitive models of human-AI joint action. A successful candidate will be expected to develop a vigorous, externally funded
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advanced machine learning models, including multimodal perception and foundation model based systems, within distributed data, training, and inference pipelines. Perform hands-on research engineering at
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analysis in SAS, Stata, R, and/or Python. Perform statistical analyses using a variety of statistical models and methods, including generalized linear models (e.g., linear, logistic, and count regression
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. This interdisciplinary initiative connects agentic AI framework design, large language models (LLMs), and interactive digital twins with real-world municipal decision-making. The project focuses on deploying auditable