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sequencing data, and is especially interested in addressing fundamental biological questions through machine learning and mathematical modeling approaches. The Texas Medical Center is the world’s largest
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of millions of lakes worldwide. The successful candidate will create innovative solutions that significantly enhance large-scale environmental simulations and meaningfully advance the modeling of global lake
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory
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mathematics or a related discipline, and possess sufficient specialist knowledge in the discipline of theoretical mechanics, mathematical modelling, and numerical simulations of PDE to work within established
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analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of
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Computational Neuropsychology and Affective Neuroscience Lab, directed by Dr. Stacie Warren, is seeking a Research Associate (Postdoctoral Fellow) eager to apply mathematical modeling to advance understanding
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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computational plasma physics Excellent understanding of mathematical modelling, especially for plasma physics in 1D, 2D and 3D Experience with Particle-In-Cell (PIC) code development and kinetic models Experience
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-seeking algorithms in transportation networks Game-theoretic approaches to cybersecurity and security games Integration of human behavior modeling in smart mobility systems Required Qualifications
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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