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Field
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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development, data analysis, and the interpretation of results to enhance understanding of water quality systems in coastal environments. Job Description Project Overview: We are seeking two highly motivated
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experience. You will have demonstrable expertise in geospatial analysis and place-based data, experience working with complex or multi-source datasets, and the ability to communicate spatial insights to non
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journals with global impact Proficiency in statistical software packages, including R and SPSS, for large and complex data analysis What We Offer The appointment will commence as soon as possible on a 1-year
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proficiency with longitudinal and regression methods (e.g., linear mixed models, generalized additive models), survival analysis, and meta‑analysis. ● Experience with version control and reproducible
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position within our research group. Obesity is a complex chronic disease that acts as a gateway to many noncommunicable diseases. Weight loss is the most effective strategy to improve cardiometabolic health
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Proficiency: Skills in programming languages suitable for numerical simulations and statistical analysis (specifically R or Python). · Analytical Skills: Proven ability to handle complex mathematical
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complex traits. Dr Speed has developed the software package LDAK (www.ldak.org ). The position will be mainly funded by an ERC consolidator grant, aimed at finding novels ways to classify complex diseases
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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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of Sociology at Duke University invites applicants for a Postdoctoral Associate with expertise in economic sociology, immmigration, organizations, network analysis, or inequality broadly defined. In