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electrochemistry, materials science, and engineering, providing an excellent opportunity to contribute to the development of one of the most promising technologies for long-duration electricity storage
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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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(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, electrocatalysis
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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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Profile A Masters degree in materials science, chemistry, physics, chemical engineering, electrical engineering, or a related discipline Strong motivation for hands-on research in thin-film materials
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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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systems. Your Profile Bachelor’s degree and currently enrolled in a Master’s program in electrical engineering, physics, or a closely related field Basic understanding of device physics, analog/mixed
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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