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August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional
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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in
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commensurate with educational level and experience. Stipend range is $69,000-$75,000 annual. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program
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Microbiology, Biomedical Sciences, Bioinformatics, Computational Biology, or a related discipline is required by the start of employment. Experience in conducting microbiome research, including processing
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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, Electrophysiology, Biomedical Engineering, or Computer Science, or a related discipline required. Certifications/Licenses Required Knowledge, Skills, and Abilities Demonstrated competence in investigation, research
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interdisciplinary exchange, a growing population science training program, and research support services designed to develop and nurture promising areas of new population research. Affiliates of the MPC benefit from
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: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: as soon as possible How to apply: All applications must be made via the ICN2 website and include
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Immunology Frontier Research Center (IFReC), The University of Osaka in Japan offers Advanced Postdoc Positions for Immunology, Cell Biology, Bioinformatics and Bioimaging [Advanced Postdoc Program
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of Computational Biology, or related fields Strong publication record in leading international journals Excellent background in molecular biology Excellent programming skills Experience in computational analysis