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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/40876 Job Number SE234824 Position Information Department or Unit Name Sociology Position
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considered essential staff. Duties/Responsibilities: Machine Learning and Cybersecurity Research (60%) Develop, implement, and evaluate machine learning and explainable AI models for healthcare cybersecurity
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, which identified a progressive metabolic dysregulation linked to loss of organismal fitness. The postdoctoral researcher will have the opportunity to develop an independent research profile, collaborate
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, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We invite you to join
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to develop three-dimensional scaffolds that reproduce the extracellular environment of the intestine in order to improve preclinical models for drug absorption studies, toxicity testing and cell–matrix
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harmonisation resource to develop new methods for harmonising smaller and disease specific cohorts to the UK Biobank, making use of the recent extension to ON-Harmony to include UK Biobank scanners. The
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what motivates people, how that influences their decisions, and how this may change across adulthood. We use a wide variety of behavioral, modeling, and neuroimaging techniques. Please see https
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flexible, from as early as October 1, 2026 to as late as fall 2027 Group or Departmental Website: https://geophysics.stanford.edu/(link is external) https://www.yang-climate-group.org/(link is external) How
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 2 days ago
Degree or equivalent Skills/Qualifications Candidates should meet the following requirements: Enrolment in a Master's programme or a non-degree/postgraduate course integrated into the educational project
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population genetic analyses to evaluate the parasite’s transmission dynamics and population history, develop computational pipelines to perform variant calling and statistical analyses necessary to interpret