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Field
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, or AI inference combined with traditional FPGA development workflows. Familiarity with AMD Versal SoC architecture and the Vivado/Vitis tool chains. Basic understanding of x-ray or neutron scattering is
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) to improve disease characterization. Develop cutting-edge architectures (e.g., federated learning) for medical research. Publish high-impact research in leading journals and conferences. Collaborate with
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departments, including public health science, landscape architecture, landscape engineering, urban and regional planning, property development and property law. The Faculty has 1300 students and 180 employees
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universities. analyse various vehicle architectures and configurations with special emphasis on the two-stage-to-orbit (TSTO) vehicle based on LOx-methane cryogenic liquid propulsion, engine clustering, low
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the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one year with the possibility of renewal pending
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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
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scientific facilities: The CFN conducts research on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and
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of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud
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, and measure success. Basic Qualifications: PhD degree in a related scientific field (e.g. architecture, architectural/mechanical/electrical engineering) completed within the last five years. Proven
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
or to advance professionally. Preferred Qualifications A Master's or a Doctoral degree in one of the following disciplines: Artificial Intelligence, Computer Architecture and Grids, Computer Science