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of magnitude larger than what is currently done in standard RF cavities. It is therefore considered as a promising alternative for future accelerators and spectacular progresses have been made during the last 20
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learning techniques (RF, XGBoost, NN, SISSO) to screen all the possible compositions of the half-Heusler family in order to find high ZT materials. - Propose new ML methods. - Perform DFT calculations
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networks, RF and microwave circuits, antennas, electromagnetic simulations, embedded software for wireless communications BLE, LoRAWAN, UWB, etc. Additional comments None Website for additional job details
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