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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to develop and optimize
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on the integration of multi-energy systems in electricity markets. Models will be developed for the optimal management of distributed resources in multi-vector contexts, considering the most suitable optimization
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system ensuring optimal health care experience for our dental patients and students. For accessibility assistance, please contact the Accessibility Help Line at (614)292-5000. The Patient Revenue Cycle
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really does change the world. For more information about Texas McCombs please visit: https://www.mccombs.utexas.edu/ Purpose The McCombs School of Business Marketing Manager will develop and implement
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the BERNARDO project, funded by the PEPR LUMA program (https://www.pepr-luma.fr/ ). The project focuses on chiroptical interactions, which play an essential role in fields such as biomolecular recognition
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-group strategies, stereochemical control, and structural optimization, thereby offering both challenge and creative freedom. Downstream, the monomers will be incorporated into PNA/γPNA oligomers
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/Administrative Internal Number: 6791073 Postdoctoral Research Associate About the Opportunity The Postdoctoral Research Associate advances research in mathematical modeling, optimization, and stochastic analysis
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systems on the path towards a sustainable future. The position is initially limited to 6 months, but can be extended (there is funding for up to 4 years). You can expect: Creation of optimization models
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Administration Analyst position works with the Center on Education and Training for Employment (CETE) Information Technology Staff to ensure computer equipment can optimally support the work of the Center
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: Scheduling patient encounters and procedures to coordinate with and across providers, departments and institutions. Monitoring daily schedule and coordinating flow to optimize resource utilization and patient