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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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statistical tools to analyse large multi-omics datasets from several large-scale prospective cohorts addressing important questions in cancer aetiology and prevention. In addition, you will be passionate about
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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healthy work-life balance. For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se https://www.maxiv.lu.se/about-us/careers
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) mixtures under various atmospheric conditions in the large atmospheric oxidation chamber SAPHIR Conduct airborne aerosol measurements onboard a Zeppelin airship Apply advanced data analysis methods
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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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School (UMass Chan) develops and applies cutting-edge computational and big-data approaches to understand the genomics, epigenomics, and regulatory functions of noncoding RNAs in human disease. We develop
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professional experience in data analysis, accounting, budget or finance operations in a large complex organization (typically two or more years); or longer tenure with increased responsibility in a smaller
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and maintenance of open, community resources. Centre and group information: NCMBM (https://www.med.uio.no/ncmbm/english/ ); Computational Biology & Gene Regulation group (https://mathelierlab.com
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the Department of Data Science, Department of Statistics, and UVA Comprehensive Cancer Center. Additional information on research projects and recent publications can be found on the lab’s website (https