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research in thermal management and energy harvesting using 2D materials. The exploration of novel routes, measurement techniques, and control strategies positions this work at the forefront of research
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Plant species distribution models (SDMs
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Meyers College of Nursing is committed to the development of the next generation of nurse scientists and is seeking to fill a Postdoctoral Associate role for Summer 2026. This position is initially awarded
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advanced computational methods to improve and understand protein function Interest in entrepreneurship to make a positive impact on planetary and human health As a formal qualification, you must hold a PhD
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. This position will be located in the project "Deploying a Mobile Interoceptive Training to
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
Post-Doc Research Associate Vacancy ID PDS004835 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Fordham Hall, Chapel Hill Position Location North Carolina, US Hiring Range
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statistical and computational methods across diverse data sources such as prospective cohorts, registry datasets, and multi-omics platforms. The role requires strong proficiency in statistical programming
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, philosophy, ethics, law, social science, and public policy. This role is offered as a hybrid (some combination of onsite and remote), full-time position, where you are required to be onsite at our Cambridge
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believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a
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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following