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-assembly, and soft condensed matter. The successful candidates will develop computer simulation approaches to understand compartmentalization inside cells (i.e., formation of biomolecular condensates) and to
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indirectly support DDSS-supported projects or its mission. Candidates will be able to apply and further develop their technical skills in a dynamic research environment. The successful candidate will have the
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days per week. Leveraging Princeton's scholarly resources, fellows will focus on research, expand their intellectual horizons, and prepare work for publication. They will have biweekly meetings with
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polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using advanced microscopy techniques and related methods
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models
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; biogeochemical cycles; molecular geochemistry; biodiversity; conservation; environmental science and policy; infectious disease and global health; and sustainable development in impoverished and resource
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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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developing biotechnological solutions to address challenges in renewable energy, sustainable manufacturing, and human health. Our group specializes in dynamical and spatial control of engineered metabolisms
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Tufekci in the field of social movements, especially as how it relates to changes in the public sphere with technological developments. The position will be awarded to an emerging scholar who will devote
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assisting with managing the lab and projects. We also expect that you will collaborate with the ARG team on developing grant proposals. Qualifications Required qualifications: Doctoral degree in a related