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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
: The candidate should have a strong background and training in theory and computational science related to molecular biophysics and biomolecular modeling, and should have significant prior research experience and
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We are seeking a senior researcher with a strong scientific background, deep passion for innovation, proven leadership experience, and a collaborative mindset to lead a research group dedicated to
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
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-analytic methods (e.g., meta-analytic structural equation modeling) We are looking for a motivated researcher who is eager to contribute to a vibrant and growing field with strong societal relevance. Your
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Physics”, project number 760034/23.05.2023. Activities that require knowledge of the methods of analysis and synthesis of research methodologies, as well as the ability to use them in the project field
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of polycrystalline metals. The post holder will be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties include setting up the framework; validating the results using theory and
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overactive bladder (OAB). Ideal candidates will have a Ph.D. in a relevant biological or computational field, with strong analytical, laboratory, or multi-omics skills, and a passion for advancing women's
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to internal documentation. Collaboration & Communication Work closely with lab members to provide analytical support and interpret results. Generate figures and summaries for presentations, publications, and
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related discipline. You will have strong experience in one or more of the following areas: electrified powertrains, marine robotics systems, automation, or predictive maintenance using data analytics
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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation