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, and advanced sequencing technologies to generate large-scale datasets. In parallel, you will develop and apply computational pipelines that integrate sequence analysis, structural modeling, and
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development. Involves isolation and analysis of mouse embryos and in parallel CRISPR-based genetic engineering of embryonic stem cells and the analysis of this model system. Experiments include genome-wide
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launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you Applicants should have a good honors PhD degree in wireless communications or AI and computer vision fields and a strong
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-performance computing systems, GPU acceleration, and parallel file systems - Ability to communicate fluently in English, both spoken and written Additional qualifications - Knowledge of or interest in
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to the development and characterization of advanced human stem cell-derived models, including organoids and Forebrain Chimeroids, as well as the analysis of endogenous prenatal human tissue. In parallel, you will
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mechanisms such as decohesion, accelerated diffusion, and interfacial responses under rapid thermal cycling. In parallel with the numerical approaches carried out at the ICB laboratory, partners of the ANR
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-heavy domains. In addition to infrastructure leadership, the Chief Architect will drive research in parallel computing, distributed systems, performance engineering, and next-generation AI infrastructure
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 15 days ago
) that enable understanding how global behaviours emerge from local interactions. In parallel, the project may include survey activities aimed at mapping the state of the art on multi-scale methods, emergent
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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Participate in teaching and supervision activities, in line with the candidate’s profile and interests The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT