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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering
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large number of elements, from sulphur to bismuth . The optical scheme guaranteed a stable and spatially homogeneous beam over the whole energy range, and the detection system assured high quality data in
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S.C.p.A. to implement the procedure announced. Elettra Sincrotrone Trieste S.C.p.A. reserves the right to suspend/postpone/cancel this selection procedure or to launch a new call at its sole discretion
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Epitaxial Heterostructures Involving Metal Halides – NEHA” Grant Agreement n° 101095974 Please submit your application using the online form and include a detailed CV, university transcripts, cover letter