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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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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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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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Max Planck Institute for Comparative Public Law and International Law, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 24 days ago
, and contribute to joint projects, publications and academic events. There are no formal teaching requirements attached to this position. Profile and requirements A completed PhD in law or political
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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
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical
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of the grading system for foreign education (Diploma Supplement if available) Documentation of English proficiency Contact information to 2-3 references Link to the PhD thesis and code repositories from previous
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 3 hours ago
other project resources. Experience with both qualitative and quantitative data collection. Experience using qualitative (e.g., NVivo or Dedoose) and quantitative analytic software (e.g., Stata or R
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for submission to funding bodies Strong analytical and computational skills in health data science Understanding of generative AI technologies in the development and enhancement of digital health tools Experience