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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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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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(Position P): Agricultural AI data integration and management based on LLM In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management and
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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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. The cosmology and astroparticle team (https://astrocosmolapth.com ) conducts research on cosmic large-scale structure, cosmic microwave and infrared backgrounds, cross-correlations between cosmological datasets
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for the development of XAI models and the evaluation of large-scale linguistic models in application contexts Where to apply Website https://www.unimib.it/lavora-noi/contratti-ricerca/contratti-ricerca-posizioni
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supports US Semiconductor Manufacturing in overcoming various qualitative and quantitative measurement challenges especially over large areas, as is needed for effective manufacturing process control
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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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. Responsibilities include (i) designing, implementing, testing, and deploying software applications and systems tailored to large-scale data workflows; (ii) developing user-friendly web interfaces and APIs using
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. 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 thriving research