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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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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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/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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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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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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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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the research effort of UNSW and to develop their research expertise through the pursuit of defined projects relevant to their particular field of research. This position is part of the project under
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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