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national and international reference point in quantum technology research. The integrated approach—which combines experimental development, numerical simulations, and advanced algorithm design—will create a
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on the theoretical and experimental study of electric generators based on fuel cells and the study of electrolyzers. Specifically, the research will concern the development of new techniques and investigative
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and leukemias (in particular Hodgkin lymphoma and hairy cell leukemia), and to translate this knowledge in the clinic by developing new precision diagnostic and therapeutic tools (as exemplified by
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for testing machine learning algorithms applied to generative design in support of existing heritage regeneration processes. Where to apply E-mail reclutamento.docenti@ateneo.uniroma3.it Requirements Additional
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junior developers and researchers Stay current with the latest developments in Deep Learning frameworks for weather forecasting and climate science. Where to apply Website https://jobs.fbk.eu/Annunci
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scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data, energy, and processing resources while adapting to the different computational
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“ASIC development for BIOlogical sequences alignments: ABIOSA” ID. MUR 2022MNS5ER_02 CUP F53C24000910001, funded by MUR - Ministero dell’Università e della Ricerca – Notice regarding the scrolling
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development and implementation of morphodynamic models to define
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from the literature. This project is part of the Synergy Grant COSMOMAG which has the ambitious goal to uncover the origin of cosmologia magnetism and develop a unified theoretical framework to
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collaborate to create novel solutions to key problems in robotics. The lab focuses on research and development of human-centered medical robotic technologies, including technologies for microsurgery, disease