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Field
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, Applied Mathematics, Statistics or related computational field. Superb quantitative background, strong coding skills (e.g., Python, R). Expertise in infectious disease modeling. Strong record of peer
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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, Evolutionary Biology , Immunology , Infectious Diseases , marine biolog , Mathematical Modeling , Microbiology , Neurobiology , Neuroscience , Systems biology , virology Physics / Biology , Biological Physics
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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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. Qualifications Required Qualifications: Ph.D. degree in engineering, mathematics, physics, or computer science. Successful publication records in thermos-fluids area. Expertise in model development using lattice
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, and conceptual domains of behavior analysis. The program is accredited by the Association for Behavior Analysis International and follows a junior colleague model with close supervision and mentoring
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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running
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during natural disasters. AI models can process big datasets efficiently, helping to make informed, unbiased decisions, and ensuring resources are distributed to those most in need. Additionally, when
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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on an optical table and integrating novel optics to microscopy are a requirement for this position. Knowledge in computational imaging, mathematical modeling, strong computer programming skills in MATLAB and/or