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depend on a solid understanding of biology. To learn more, please visit us at https://www.bio.tamu.edu/ . We are a prestigious university with strong traditions, Core Values, and a community of caring and
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foundation in modern biological sciences to prepare them for a multitude of careers that depend on a solid understanding of biology. To learn more, please visit us at https://www.bio.tamu.edu/ . We are a
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for on-chip cooling. This studentship is offered as part of the prestigious Horizon Europe Marie Skłodowska-Curie Doctoral Network “MaGnesium Alloys for effICient solId stAte cooliNg (MGICIAN)”, a pan-European
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carbonates of the land-attached Al Wajh carbonate platform in the Red Sea, Saudi Arabia. The open position focuses on an investigation of the evolution of the Pleistocene shallow water carbonate systems
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and undergraduate programs and is the State’s flagship public research university, as well as the land grant and sea grant university, for the state of Rhode Island. The University of Rhode Island is an
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comprehensive, urban, co-educational, land-grant institution in Nashville, Tennessee. The university has been served by seven presidents, including Dr. Glenda Baskin Glover, who is currently serving as our eighth
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, Climate Science or a related field. Experience in earth system modeling, data assimilation, and remote sensing of land surface variables. Experience with parallel computing on high performance cluster
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/Administrative Internal Number: 1116558 Position Summary The Michigan State University-Hurley Children’s Hospital Pediatric Public Health Initiative (https://msuhurleypphi.org/) in the C.S. Mott Department
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chemistry Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 17 Apr 2026 - 12:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
, assessment, and integration of diverse data sources (e.g. rainfall forecasts, topography, land use, and infrastructure) relevant to flood risk modelling. · Testing ML/AI models to evaluate and improve