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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development
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coating, iii) investigation of system design from small-scale to potentially pilot scale, and iv) application to micropollutant removal. Modelling aspects are open to exploration at molecular and process
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The Department of Medical Biosciences is offering a postdoctoral scholarship within the project “Developing computational tools for large-scale human intracellular signaling models”. The scholarship
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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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software aspects of large-scale AI systems. Areas of interest may include, but are not limited to: • Advanced accelerator chip technologies, such as GPUs or other specialized chips for large-scale AI
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, the large nonlinearity at the single-photon level can be harnessed to develop deterministic network components that overcome the scaling problem of current systems. This work is highly timely as it fits
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astroparticle physics, particle physics, and mathematical physics. The Astroparticle and Cosmology group (https://astrocosmolapth.com ) conducts research on cosmic large-scale structure, cosmic microwave and
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political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ Minimum Required Qualifications: Master's in computational biology, systems biology, bioinformatics, biological engineering
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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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statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research and collaboration