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working with large-scale longitudinal data, managing data, writing scripts, performing statistical analyses, and writing articles on several pharmacoepidemiological studies that will be the basis of the PhD
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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PhD in Resource Economics or a related discipline. Possess experience in life cycle assessment, soil science, and big data analytics. Demonstrate strong research and publication skills in relevant areas
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- Friday 8:00am to 5:00pm Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role: The Wyss Institute for Biologically Inspired
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part of a team developing analytic likelihood approximations and neural posterior estimation methods for epidemic data analysis. This role offers an excellent opportunity to work at the interface
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and synthesis of small molecules and/or compound libraries. Experience in analytical techniques, such as NMR, HPLC and LC-MS. Experience in compound data analysis. Experience in lab project supervision
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well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or related field, or equivalent experience. Please view the job description and person
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programming. A good understanding of molecular dynamics packages. Preferred Qualifications: A doctorate PhD in biochemistry or analytical chemistry, with a focus on mass spectrometry analytical and