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Field
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applicant will work in a team environment whose mission is to develop robotic systems to interact closely with the natural and built environment while working with end users of these systems. The successful
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accumulation trajectories within and between social groups. The project breaks new ground by combining longitudinal data from surveys and registers with new biographical data on wealth, making it possible
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. Communication: Strong written and oral communication skills, with the ability to present complex scientific concepts clearly and concisely. Preferred Qualifications Postdoctoral or industry experience in a CAR-T
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seeking a postdoctoral researcher to investigate how the use of visualization and simulation tools impacts undergraduate students' understanding and attitudes in topics related to semiconductor physics
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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible
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years of work experience in a related discipline. Experience gained through postdoctoral role may be counted as relevant experience. · Applicants must have a Ph.D. in Economics, Public Policy
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games and/or competitive activities Self-motivated and quick to learn, thriving in dynamic, fast-moving environment By applying to this role, you will be automatically considered for the Quantitative
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The role The post is part of the Wellcome Discovery Award research programme “Collective Action for Race Equity in Health and Social Care”, which aims to address and dismantle structural factors
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cancer centers. Individuals in all areas of cancer research will be considered, with special emphases on: cancer and the environment, epigenetics and chromatin, gene-environment interactions, chemical