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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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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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in bioinformatics, computational biology or related subjects; should be familiar with state-of-the-art NGS tools, algorithms and pipelines for processing and interpreting omic-seq data sets, with Unix
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, Physics, or a related field; Experience in following and handling international projects; Advanced understanding of deep learning/machine learning algorithms for weather prediction and climate science
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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