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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and
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biology, chemistry and virology laboratories at Catholic University of Valencia, University of Barcelona and the IrsiCaixa and ISCIII research institutes in Spain will use state-of-the-art in vitro and in
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Leonardo. The successful candidate will play a crucial role in developing and optimizing machine learning workflows for large-scale environmental data analysis, contributing to the creation of robust and
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interface between ESM and the latest version of SIESTA, its validation, its benchmarking, and its exploitation in scientific applications. Work will also involve the optimization of SIESTA on the fastest and
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environment. The Functional Optoelectronic NanoMaterials group at ICFO, led by ICREA Prof. Gerasimos Konstantatos, is looking for outstanding, creative and highly motivated researchers to develop highly
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); the use of those tools to address longstanding biological questions, related to evolution (Santos-Moreno et al. 2023, Nat Commun ) or pathogenesis (Rueff et al. 2023, Nat Commun ); and the engineering of
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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machine translation relying on state-of-the-art deep neural models and architectures (LLMs). The work is to be carried out in the context of the Horizon Europe project IDEAL (Inclusive Democratic Engagement
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multipurpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic