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innovative materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard
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within the framework of project MULTI-COAT - MULTIscale Coating Optimization with Artificial intelligence Technologies, with number 15050 and operation code at the Funds Platform COMPETE2030-FEDER-00870200
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the design of optimized electrodes for more efficient and sustainable hydrogen production. The project is interdisciplinary, combining chemistry, physics, and materials science. Where to apply Website https
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materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard carbon
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place at the Fields Institute from July 1 - December 31, 2026. More information on the program will be posted here as it becomes available: https://www.fields.utoronto.ca/activities/26-27/optimal
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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International Research grant, "Next Generation International Research Hub for Algorithms, Combinatorial Optimization and Discrete Mathematics" with project leader Professor Ken-ichi Kawarabayashi (NII
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Optimization of synthesis strategies for obtaining polymer- or mesoporous
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undertaken by the supervisory team of this thesis on the culture of this diatom, with the aim of optimizing and intensifying its culture but also its refining via the extraction and fractionation of its lipids
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will play a key role in strengthening and expanding the group’s computational capabilities for the simulation, analysis, and optimization of advanced thermal energy systems and processes. This includes