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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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Master’s degree in environmental, energy, industrial engineering, or a related field, with good grades Interest in energy-related, environmental, and economic issues Analytical and systems-based
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laboratory environment and following specific clean room protocols Master`s degree in physics or electrical engineering or a related field Willingness to work in laboratory and cleanroom environments
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) Candidate Profile Education: Master's degree (M2) or engineering degree in organic chemistry, polymer science, or green chemistry. Technical Skills: Experience in organic synthesis (purification
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You should hold (or be close to completing) a master’s degree in chemistry, chemical engineering, electrochemistry, materials science or a closely related discipline A background in electrochemistry
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publishing in peer-reviewed scientific journals Your Profile Master’s degree in electrical engineering, physics, computer science, or a related field Strong academic background in embedded AI and in the
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and types for enabling DAC scaling Comparison of policy requirements for FOAK and NOAK DAC systems Your Profile Very good academic performance in a master’s program in engineering or economic
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The thesis will be conducted within the STORM team at IRIT ( https
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and recognized for its expertise in engineering and technology. Its work focuses in particular on the management and sustainable use of energy within systems that interact with their environment. The
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Engineering » Materials engineering Years of Research Experience None Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UPR22-MARPEC-007/Default.aspx Work