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ionics, materials characterization and/or electrochemical engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences, experience
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of new and expiring CoC members to CeDar representative for Information Warehouse access/restrictions. Set up, run, and announce results of February and April elections for faculty committees. Create
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Research Software Engineer. This multidisciplinary initiative has three Research thrusts: (a) Better design, evaluation, safety and understanding of large AI models (especially language models); (b
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Partnership (VFRP) position for the summer 2026 term. The VFRP seeks to establish research collaborations with faculty members, and their students, from colleges and universities without large doctoral programs
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activities such as working with large, longitudinal datasets, designing and implementing lab-based experiments, coding video data, writing manuscripts, presenting research, and mentoring undergraduate and
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and
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, finance and student business domains. Reporting to the VP for IT and CIO, this critical role will provide technical leadership, design robust solution architectures, and oversee data migration and
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leading researchers in economics. They will be expected to assemble and manage data sets, to program and simulate non-linear models, and to assist faculty members in all aspects of their research. This is a
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, or engineering large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness
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computational approaches to tackle questions at this interface. We are particularly interested in candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention