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, including some GPU -heavy clusters as well as the molecular biology, flow cytometry, and imaging equipment in the Life Sciences Core Facility https://lscf.uta.edu/menu/ $170M remodel and expansion of the Life
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on a public website: [https://rapidrefresh.noaa.gov/RRFS-SD/]. The coupled meteorology-chemistry models developed at GSL allow simulating complex gas/aerosol chemistry and aerosol-meteorology
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impact on sustainability and future technologies. For more information: https://saragovi.science/ Being a doctoral student As a doctoral student, you are both admitted as a student and employed at Lund
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workflow tools such as Nextflow or Snakemake, version control such as Git, and reproducible computational environments is preferred. Familiarity with GPU-accelerated genomics, high-performance computing
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of the CECI clusters cover a range of facilities including very fast CPUs and GPU accelerators. We also have access to supercomputer facilities of the regional Tier-1 (Zenobe) and projects can be
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intelligence, and machine learning. More information on our research strengths can be found at https://www.uta.edu/academics/schools-colleges/engineering/research . Science: All areas of natural
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Computing Cluster is equipped with GPU acceleration and large-memory nodes to support AI-predictive modeling, deep learning, and other computational workflows. Finally, the faculty also have access to
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, economics, political science, social research, engineering, and the humanities; High-performance computing, GPU-enabled workflows, large-scale data processing, research storage, and technical support
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stack with competitive performance). Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . What we are looking for Research Associate: A PhD (or be
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-doc programmes. World-Class Resources: Access to world-leading core facilities and infrastructures in molecular biology and in IT, including on-site HPC and GPU farms and multiple channels to scale