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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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. Additional Qualifications: Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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. Gather and analyze program performance data, including enrollment trends, student outcomes, and course surveys to drive continuous improvement. Identify growth opportunities, including new courses and
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. Foster open communication and teamwork across the EAS team and broader Executive Education team. Perform additional duties and special projects as assigned. Qualifications Basic Qualifications: High School
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. They are comfortable leading a high-performing team, producing high-quality content, and coordinating across complex environments. They see communication and engagement as avenues for connection, influence, and change
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management skills, with a track record of building and managing high-performing teams and delivering outcomes. Demonstrated success designing, launching, and scaling programs that provide hands-on learning
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories and to develop approaches to predict and monitor
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will