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Tiny Machine Learning (TinyML). The role will focus on the design and development of battery‑less, ultra‑low‑power IoT systems capable of executing secure TinyML‑based visual perception algorithms
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of graduate students, undergraduate trainees, and technical staff. The Song Lab employs mouse models, cell culture systems, and molecular and behavioural approaches to investigate brain function and pathology
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position involves assisting in the development, deployment, and evaluation of AI-based models and tools for engineering applications. At the end of the project, whole work repository needs to be uploaded in
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. The project will conduct leading research and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models
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and modeling of psychopathology and efforts to address behavioral health disparities. This is an excellent opportunity for individuals interested in gaining hands-on research experience in clinical
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manner, collaborates effectively, abides by policy, contributes to a positive and productive work and learning environment, and models these behaviours across the institution. Builds and leads diverse
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models to address a fundamental question in chromatin biology: How do epigenetic features contribute to the regulation of the genome? We study how chromatin drives specificity for regulating gene
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translational projects employing single-cell sequencing, immune profiling, transgenic models, and molecular biology to uncover pathomechanisms and therapeutic targets in arthritis, osteoporosis, intervertebral
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REQUIREMENTS We are looking for a graduate student with background in petroleum and natural gas engineering to work on development of advanced AI based models for drilling optimization and wellbore stability
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learning models for describing and predicting experimental outcomes. Prior experience in laboratory automation for life sciences is highly desirable. Prior experience with cell and tissue culture is