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expertise relevant to longitudinal research on social development from adolescence into adulthood examining mental and physical health as well as next generation parenting outcomes. The Group is focused
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 27 days ago
Description Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs. Where to apply Website http://www.unibo.it Requirements
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project focuses on the development of high-fidelity multi-physics structural
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Special Instructions to Applicants A resume, cover letter and completed application are required to be considered for this position. Position Summary UCLA Development seeks a visionary Associate
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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#CA-DK Under general direction of the Learning and Development manager, this position oversees instructional design and eLearning development for UC Davis Learning and Development, Human Resources
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to help maintain and support the development of the research environment. This position is placed at the Geometry Assurance and Robust Design research group at Chalmers. We work with development
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the new Ashley School of the Environment and Global Development. This section is multidisciplinary with emphases in applied ecology, human dimensions of natural resource management, policy/governance
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lead advanced statistical analyses integrating ecological datasets with spatiotemporal modelling frameworks. The work will contribute with evidence-based data to development of ecosystem-based
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. Your Role A key pillar of ECOWIND is bridging the gap between remote sensing technology and real-time turbine control. Your focus will be the development of a predictive capability that allows turbines