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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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formation simulations, creates tools for synthetic observations, accelerates forward modeling using machine learning, and couples physics-based models with simulation-based inference techniques. Our goal
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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be enrolled in a minimum of 6 credits for the semester and maintain a 2.0 GPA Must qualify for Work Study or RSP through Student Financial Services Be familiar with Electrical & Instrumentation tools
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Machine Shop. Primary work hours are Monday - Friday 8am - 5pm, with occasional evening/weekend work required with advanced notice. Essential Duties: Responsible for building or repairing precision tools
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tasks: You will work together with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement
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Design) will contribute to a one-year applied research project funded by the Singapore Army, focusing on the development of a mobile DC microgrid for military tactical applications. The role involves
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opportunities for learning new skills to support research Teaching and Training Support (Student and Research-facing) Instruct and train laboratory users on machine shop tools and laboratory testing equipment
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Simulations (INMA, Zaragoza) Build and maintain software infrastructure for modeling quantum systems with machine learning tools. Investigate neural-network-based representations of many-body quantum states