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with both research and teaching responsibilities. Preference will be given to candidates whose expertise aligns and strengthens the research of the Department. The successful candidates must have a PhD
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, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in electrical or
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. This will feature integration of technologies such as across generation, storage, and the grid. The postdoc will develop novel AI/ML architectures, training methods and operational strategies for hybrid
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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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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receive both individual and cohort mentoring and will benefit from professional development opportunities and programming. The candidate should have PhD in hand no later than May 2025 and should have
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professional development opportunities and programming. The candidate should have PhD in hand no later than May 2025 and should have received their PhD no earlier than May 2021. About University at Buffalo A
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
the ability to design and implement novel artificial intelligence algorithms. Examples of research directions could include: multimodal foundational models for biomedical data, deep-learning architectures