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the Pathways workstream co-leads on the identification and quantification of the innovation gaps that account for residual gross emissions in current mitigation scenarios, coordination and implementation
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models and monitoring data to assess its current structural state and predict its remaining lifetime. This will enable the condition of welded structures to be monitored throughout their service life
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the copan:LPJmL modelling framework (https://copanlpjml.pik-potsdam.de) to investigate the co-evolution of human land management decision-making and biophysical land dynamics. By explicitly coupling social
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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applications in areas of intense wave-current interaction. Develop the drift modelling framework, OpenDrift, to integrate observational data into drift simulations using Machine Learning (ML) techniques
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Rutgers Cancer Institute - Cancer Metabolism and Immunology | New Brunswick, New Jersey | United States | about 3 hours ago
questions in cancer biology. Our research centers on cancer metabolism, tumor microenvironment, tumor immunology, and tumor suppressor signaling. Current projects investigate: 1) the regulation and function
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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repair. Our research integrates single-cell and spatial multi-omics, human developmental tissue, stem cell and organoid models, perturbation approaches, and in vivo models to uncover mechanisms controlling
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of August 18, in its current wording, as well as by the Regulations for Grants of INESC TEC and for https://files.dre.pt/2s/2019/12/241000000/0009100105.pdfFCT Grants Regulation in force. For more
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position is offered for 4 years, starting in Spring 2027 or as soon as possible thereafter. ADAPT-X investigates how AI-based weather prediction models can be used to improve the prediction and climate