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for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative
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processing • High-speed memory, interconnects, and data center architecture • Efficient software stacks for training and deploying large-scale models (e.g., Llama, DeepSeek) in a data center or on
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funding. References 1. Small-scale reconstruction in three-dimensional Kolmogorov flows using four-dimensional variational data assimilation (https://www.cambridge.org/core/journals/journal-of-fluid
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mines, areas subject to landslides hazards, or large civil infrastructural development areas. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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Frameworks. Information on the cutting-edge, multidisciplinary research and teaching at the Institute for DSAI can be found at https://dsai.bogazici.edu.tr/ . By leveraging the big data, Boğaziçi DSAI’s
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data acquisition systems capable of handling the high radiation environment and intense magnetic fields around fusion reactors to understand how muons propagate through large reactors and interact with
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large torsion Where to apply Website https://www.unimore.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 9 hours ago
international team of experimentalists and theoreticians in the Advanced Global Atmospheric Gases Experiment (AGAGE) and a large atmospheric chemistry group at MIT. The work will focus on interpretation of AGAGE
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, hepatitis B virus, coronaviruses, and others. For more information, please visit our official website: https://cidr.westlake.edu.cn/en/ . We are seeking outstanding scientists to lead vigorous, independent
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models