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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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an established code (for example VASP, Quantum ESPRESSO). ● Research experience performing molecular dynamics simulations. ● Experience training, fine-tuning, or validating machine-learning interatomic
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machine learning, topological quantum materials, and/or related areas. The successful candidate will have access to HiPerGator, the fastest university-owned supercomputer in the United States (TOP500
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
intelligence (AI), machine learning (ML), deep learning (DL), LLMs, genomics, agentic AI, computational chemistry and related areas. Proficiency in programming languages commonly used in bioinformatics and AI
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literacy, and creating instructional materials that address documented learning needs. Assessment development will include textbook analyses, expert review, student think-aloud interviews, pilot testing
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Technologies. The researchers will develop intelligent agents that collaborate, verify recommendations and learn from experience to improve wireless network energy efficiency. The research combines large
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developing learning-based perceptive approaches. You will develop learning and/or optimization based approaches to multi-robot path and motion planning and coordination, integrating multi-modal perception and
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transformation, machine learning, and data analysis applied in logistics and supply chain management; support graduate-level teaching activities for both the Supply Chain Management residential (SCMr) and Supply
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states, tissue organization, and biological programs, and connect these representations to mechanisms of human disease. Your work will sit at the intersection of machine learning, computational biology
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how