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/ *This position is fully paid and visa may be arranged Basic Qualifications • Bachelor’s or master’s degree in economics, mathematics, statistics, computer science, or related fields • Strong quantitative and
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(applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience. Proven
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Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Biophysics, Biomedical Engineering, or a related field. Strong programming skills in at least one of: Python, R, C/C++, or Perl
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discipline (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience
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Faculty.Professor.Research Assistant - Full-Time Med-Radiology - Pennsylvania-Pittsburgh - (26000407) University of Pittsburgh, Department of Radiology Research Assistant Professor (Full-Time, Non-Tenure) The University of Pittsburgh, Department of Radiology is recruiting for a qualified imaging...
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& Sciences Department:Mathematics Salary Salary:$63,000.00 - $65,000.00 Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: The Department of Mathematics at the University
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Position Information Position Information Working Title Research Assistant Professor Department Rural Drug Addiction Research Center-10950 Requisition Number F_260002 Posting Open Date 01/30/2026 Application Review Date: (To ensure consideration, please submit all application materials before...
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to biomedical research, particularly in immunology. Job Duties Develop and analyze mathematical models (primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement
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in the last 1-3 years, in a quantitative discipline, such as Computational Biology, Computer Science, Biomedical Engineering, Electrical Engineering, Data science, Physics, Mathematics, Bioinformatics
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, reinforcement learning, multi-objective optimization (mathematical programming, heuristics/meta-heuristics). Proven success as PI/co-PI or primary writer on large proposals (e.g., NSF/DOE/DoD/state/industry), and