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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 11 days ago
Europe Programme. The successful candidate will support research activities related to geographic information systems (GIS), territorial indicators, open science, public policy analysis, statistical data
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the division are expected to develop their own independent statistical methods research program, engage in collaborative research with researchers across the health sciences and other areas of the University
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the methodological basis for the entire discipline. It is desirable that the research profile fits this focus area and that the candidate has proven expertise in the field of multivariate statistics, especially in
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and statistical techniques, methods, and tools, this role will develop and implement predictive models and other sophisticated analytics solutions. Working within University Data and Analytics (UDA
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cities and databases. Mandatory requirements: PhD in engineering, data science and computing, mathematics, or statistics; experience in engineering, data science and computing, mathematics, or statistics
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the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (the Clery Act), UCSC publishes an Annual Security and Fire Safety Report . This report is published by October 1st of each
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strategies and artificial intelligence based on chemical analysis results. The researcher will be responsible for the integration, processing, and interpretation of data, applying statistical methods and
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SPECIFICS Postdoctoral Scholar (Physics / Statistical Mechanics in Molecular Biology) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at The Pennsylvania State
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biomonitoring. Data analysis and statistical software proficiency (e.g., R, Microsoft Excel). Strong attention to detail, teamwork, and organizational abilities. Scientific research, documentation, and report
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 31 minutes ago
statistical approaches for handling complex, hierarchical CGM data under combined missingness and censoring scenarios, extend these methodologies beyond TIR to metrics with distinct distributional