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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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work has been published in high-profile journals including Nature, Nature Genetics, Nature Neuroscience, and others. We are currently expanding efforts to build large-scale data commons for human complex
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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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payable upon successful completion of a contract. Further information about the Department is available at https://physics.hkust.edu.hk/ . Application Procedure Applicants should submit their application
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: This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu
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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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. Qualifications Minimum Qualifications: MD/DO, BE/BC Application Materials Be prepared to upload your CV Community Information Columbia offers small-town friendliness with big city features and a high quality of
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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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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic