31 programming-language-"St"-"FEMTO-ST"-"St" Postdoctoral positions at University of Washington
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fluency in English, both spoken and written. Instructions Please submit your CV, a cover letter highlighting your previous research accomplishments and future goals, and contact for three references via
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how urbanization impacts humid heat stress across Mediterranean coastal cities over two decades. Optional Research Opportunity: Utilize social media data and natural language models to analyze
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organization as measured by research awards from the National Institutes of Health and offers an array of specialized educational training programs. The UW Medicine Department of Laboratory Medicine and
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for this position will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following languages: Python, Julia, or C . A strong
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contribute to forefront research at the Center for Nuclear Physics and Astrophysics (CENPA) in alignment with the NSAC 2023 Long Range Plan for Nuclear Science. The successful candidate will join a vibrant
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on this tradition, the program is now positioned to lead the next era of FLASH and ultra-high dose rate radiotherapy research, leveraging decades of excellence in both biological discovery and technological
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data. · At least one year of research experience in transportation engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database
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-spectrometry analysis of small molecules The successful candidate will work closely with the PI and collaborators in a highly collaborative environment. The candidate will plan and perform experiments, write
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information environment. Located at the University of Washington, a world-class research university in the Pacific Northwest, this Center leads programs that span research, education, policy and outreach
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equivalentat by the start of employment. • Experience in fluorescence microscopy, basic programming (Python or other languages), and/or quantitative analysis of microscopy or simulation data. • Experience