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rate, conversions, and cost-per-result. Translate reporting into actionable insights for future campaign planning and optimization. Digital Advertising & Campaign Execution and Tracking Monitor campaign
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | 3 days ago
. Structural optimization and numerical modeling. Where to apply Website http://www.unibo.it Requirements Additional Information Eligibility criteria to apply for research grants fill out the form available
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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other applications of microfabricated circuits, transducers and systems. The group [https://www.nist.gov/pml/microsystems-and-nanotechnology-division/photonics-and-optomechanics-group ] offers a highly
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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or cobalt. While hydrometallurgy is a highly effective recycling pathway, it remains resource-intensive and environmentally challenging due to high toxic reagent consumption. Optimizing these processes
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the Previzo project, whose objective is to develop an artificial intelligence based decision support tool to optimize water resource management, in particular by anticipating water related crises and conflicts
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Description OPTIMIZATION OF A NOVEL SOLAR PARTICLE RECEIVER BY MEANS OF HYDROTHERMAL TECHNOLOGY AND ARTIFICIAL INTELLIGENCE (HYDRAISOL-CM-UC3M) Funding entity: Autonumous Community of Madrid Phases
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the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will contribute to the development and optimization of an experimental setup
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staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area