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, interdisciplinary research project focused on developing and evaluating an AI-driven system for clinician burnout detection and intervention. Under the supervision of Dr. Sicheng Wang, the postdoctoral associate will
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-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we
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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement
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candidate’s interests and expertise. Our lab investigates a broad range of questions related to the origins and molecular evolution of organs in mammals and other vertebrates and the underlying genomic changes
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
institutional capacity scenarios developed at the German Institute of Development and Sustainability (IDOS) with PIK’s own integrated assessment model REMIND. Contribute to the collaborative research with IDOS in
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data-driven analysis. The ultimate goal will be to better comprehend the link between developability, affinity and functionality. You will build and screen antibody and nanobody libraries, plan and run
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postdoctoral researcher will develop and apply advanced simulation techniques, and data-driven approaches to explore complex biophysical phenomena at the cell membrane. This role provides a platform for
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of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa
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mechanisms that contribute to chronic pain, inflammation, and neuroinflammation. In this role, you will play a key part in advancing discovery-driven research that integrates molecular genetics, behavioral
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Are you interested in the empirical foundations of flood damage modelling and keen to translate that knowledge into practical strategies for insurers to reduce losses through early warning and