58 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Duke University
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, United States of America [map ] Subject Areas: Computer Programming Systems Modeling Biochemistry Atmospheric Science Appl Deadline: (posted 2025/02/19, listed until 2025/05/01) Position Description: Apply Position
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of output from global climate models (CMIP-class models) as well as Integrated Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer
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or natural resource economics, ecological economics, or a related field. • Background in environmental modeling, programming, and LCA tools • Demonstrated ability to work collaboratively on cross-disciplinary
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outside Duke University. Preferred qualifications: PhD (completed in the last 1-5 years or PhD candidate) in a quantitative discipline, including Computational Biology, Bioinformatics, Computer Science
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collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent
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and non-invasive neurostimulation. The strong interdisciplinary and collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in
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to Dr. Richardson at curtr@duke.edu. TERM: 1 years, with the possibility of extension based on performance and funding. QUALIFICATIONS: Applicants should hold a PhD in wetland ecology, biogeochemistry
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[map ] Subject Areas: Environmental Analysis Climate Science Ecology Environmental Management Geosciences or Atmospheric Sciences (more...) Environmental Science Appl Deadline: (posted 2024/12/02
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Science, Geography, or a related field. We are looking for candidates with a strong interest in ecology and quantitative modeling, along with training in programming languages such as R, Python, and/or MATLAB
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cells with organoid culture, which will create novel pre-clinical disease models. 3.Identifying vulnerabilities in treatment-resistant epithelial cancers. 4.Developing novel therapies targeting oncogenic