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Department invites applications for postdoctoral and more senior research positions in two areas of computer science. 1) Quantum computing and quantum architecture and systems. 2) Reinforcement learning
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-learning models (e.g., graph neural networks, equivariant architectures) in collaboration with computer science researchers. Applying developed models to problems in Earth and planetary interiors, such as
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or Anthropology, or Architecture. Interdisciplinary scholarship is welcome and encouraged. - Demonstrate strong background in humanistic, critical, interdisciplinary, or social sciences theories and methodologies
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will have the opportunity to work closely with our engineers and other research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation
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to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers to translate their research
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optics, optical microscopy or imaging Prior experience integrating hardware and software Fluency in mathematic concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python
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candidates are expected to be skillful in some, but not necessarily all, of the following areas: experience with software languages and tools such as Python, R, Linux, GitHub, Globus, high-performance
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, neuroscience or a related STEM field Prior experience in the development of scientific instruments Prior experience in optics, optical microscopy or imaging Prior experience integrating hardware and software
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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud