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Science or Intelligent Systems Engineering Department. We seek candidates who can teach and lead cutting-edge research in AI, including generative AI, to bridge biomolecular data—such as genomics and pharmaceutical
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cryptography Quantum error correction and fault-tolerant quantum computing Quantum algorithms and complexity theory Quantum optimization and quantum machine learning Quantum programming languages, compilers
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assistants, and large language models. Areas of interest for possible collaborations include but are not limited to: topological data analysis and topological machine learning; AI-assisted theorem proving
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Science or Intelligent Systems Engineering Department. We seek candidates who can teach and lead cutting-edge research in AI, including generative AI, to bridge biomolecular data—such as genomics and pharmaceutical
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Science or Intelligent Systems Engineering Department. We seek candidates who can teach and lead cutting-edge research in AI, including generative AI, to bridge biomolecular data—such as genomics and pharmaceutical
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, Biomedical Engineering, Computer Science, Health Informatics, Human–Computer Interaction, Library and Information Science, and Software Engineering), eight Baccalaureate programs (Artificial Intelligence
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Experience in one or more of the following areas is preferred: Statistical genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data
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, synaptic growth, brain network organization and connectivity, cognitive function) Using advanced neuroimaging and/or machine learning techniques to understand the connection between physical activity
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classrooms, media and gaming labs, human–computer interaction research labs, usability and mobile development labs, ample research facilities, and studios for sound design and interactive media production