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astroparticle physics, particle physics, and mathematical physics. The cosmology and astroparticle team (https://astrocosmolapth.com ) conducts research on large-scale cosmic structure, microwave and infrared
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innovative methods for the large-scale spatial and temporal analysis of interferometric SAR data, with particular focus on monitoring surface deformation and active geomorphological processes. The objective is
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project intends to discover, using video games, what structures of social interactions can foster such large-scale cooperation. The project will first build a formalism for mechanisms driving cooperation
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Affairs. The FY25 minimum is $76,383. The research group led by Dr. Zihuai He (https://profiles.stanford.edu/zihuai-he (link is external) ; https://www.zihuai-he.com/ (link is external) ) at Stanford
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, reproducible tools and datasets. • Infrastructure and benchmarking for large-scale social-science simulation and validated workflows. The group website is https://torrvision.com/ Feel free to add Professor
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, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis
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for analyzing data sets and experience working with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming
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done on a large scale. Or, any combination of education and experience that shall be substantially equivalent to the above education and experience. Preferred Qualifications Environmental Conditions
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for the higher education sector, new appointments to a direct entry recruitment grade will generally be at the minimum (1st point) of the relevant scale. For existing public servants, the restriction to the first
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and