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Field
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the development of principled, mathematical tools. Such tools need to be able to handle a variety of working environments (e.g., dynamic environments), input data (from traditional frame-based data to non
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; environmental science; statistics; mathematics; data science; data visualization; documentation; records management; complex problem solving; critical thinking; resource management; communication; community
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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plus Education and training PhD in Bioinformatics or in Biology, Machine Learning, Statistics, Physics, Mathematics, Chemistry or related areas Languages: Highly proficient in both spoken and written
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advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity
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record of peer-reviewed publications. A background is required in computer programming (including Julia and/or C/C++), applied mathematics and statistics. Please upload your application materials via
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Jun-25 Location: Minneapolis, Minnesota Categories: Academic/Faculty Mathematics/Statistics Additional Information
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Posting Details Posting Details Vacancy Number PD-0026 Working Title CSE Postdoctoral Scholar - Brain, Data, and Causality (BDC) Lab Position Number PD0029 Location of Workplace Main UNCW Campus
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Prof. Romit Maulik in the College of Information Sciences and Technology (IST) at the University Park campus seeks applicants for a postdoctoral scholar in
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science