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: 277494264 Position: Postdoctoral Research Associate (Construction Robotics) Description: OverviewAdel Research Group (ARG) at Princeton University invites applicants for full-time Postdoctoral Research
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opportunity to engage in cutting-edge interdisciplinary research focused on Construction Robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated
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) positions to join our team. These full-time positions offer a unique opportunity to engage in cutting-edge interdisciplinary research focused on Generative AI within the context of construction robotics
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) in a team with designers, makers and social scientists. Responsibilities include: 1)Developing a human-centered computational artificial Intelligence structural design framework that facilitates
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research on AI-driven form finding of structural surfaces under extreme loading. The research will be conducted under the direction of Professor Sigrid Adriaenssens in a team. Candidates with a strong
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or Bio Engineering or related area is required. We are interested in candidates who have an interest in: *Advanced Manufacturing and Integration of Scalable Structures*Soft and Living Materials *Natural
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The Ghanim lab is seeking a postdoctoral candidate or more senior researcher to study macromolecular complexes involved in LINE-1 retrotransposition using an integrated biochemical and structural
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, cell biology, structural biology, microbiology, developmental biology, virology, genetics and cancer biology. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year
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retrotransposition using an integrated biochemical and structural approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757