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senior researcher in the areas of soft materials and polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using
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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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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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, Postdoctoral Research Associates will hold the additional rank of Lecturer. Eligible candidate must have less than three years of post- PhD research experience prior to anticipated start date. Postdoctoral
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motivated and organized researcher with the following qualifications:Responsibilities*Explore, collect, and preprocess various sources to develop domain LLM training and test datasets*Design and implement
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of individual assets that underpin most proposed energy transitions. These models will be used to design and test policy and investment interventions to alleviate deployment bottlenecks.The successful candidate
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on democratic political processes and institutions. PhD required. Each post-doctoral associate will pursue research and contribute to the intellectual life of the Center, the Princeton School of Public and
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the development and testing of new materials. The work will involve reactor design and setup with gas flow capability and process optimization. Qualified candidates should have a Ph.D. in chemistry, physics
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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year with the possibility of renewal pending satisfactory performance and continued funding.About UsARG is an interdisciplinary laboratory for advanced research at the intersection of design, computation