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environments. Working closely with partners in the NEXPECH₂ project, you will analyze their materials and provide valuable insights to help optimize device performance. Additionally, you will support
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of digital data in DNA. -Contribute to designing and optimizing methods for DNA digital data storage in nanomaterials. -Collaborate with interdisciplinary teams, including molecular biologists, chemists
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innovative experiments. The work will include defining and optimizing in vitro models using diverse cell types and advanced platforms, as well as establishing correlations between applied mechanical stimuli
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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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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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and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC experience: BSC-CNS
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, fluorescence screening, RNA footprinting and computational methods to study the atomic structure and dynamics of the RRE, identify new antiviral candidates and guide the optimization process. The publication
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processes. Performing benchmarks in HPC machines in Japan and carrying optimizations to improve performance of the codes. Execution of simulations in top HPC facilities, both in Europe and Japan. Contribution