181 Computer-Science-"https:"-"Data-driven-Materials-Modeling" "https:" Postdoctoral positions in Mexico
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productivity. Some example research areas include , but are not limited to: AI-Enhanced Design & Planning: Data-driven methods for urban development, architectural and structural design, or building
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 8 hours ago
pay determined by rank and/or step at appointment. See the following table for the salary scale for this position [(https://www.ucop.edu/academic-personnel-programs/_files/2026-27/represented-oct-2026
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its research in practical applications that drive technological progress and tackle global challenges. such as quantum technologies, advanced imaging, and innovations in materials science. The
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degree or higher in Electrical/Computer Engineering, Computer Science, Data Science, Biomedical Engineering, or a related field. Programming experience in Python, MATLAB, or similar environments
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propagation, photonics, or semiconductor physics Experience with scientific programming and data analysis (Python, MATLAB, or similar) Motivation to combine computational modeling with experimental
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 8 hours ago
qualifications (required at time of application) Doctoral degree or equivalent terminal degree in Engineering, Physics, Cognitive Science, Neuroscience, Biology, Computer Science, or a closely
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Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (e.g., Mathematics with a focus on algorithms, data structures, and programming
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doctoral degree in Statistics, Data Science, Exercise Science, Kinesiology, Biostatistics, Epidemiology, Public Health, or closely related areas · Analytic coding skills for data management and
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learning methods. Many life science projects involve the acquisition of time series microscopy data to visualize the dynamics that underline cell proliferation and cell fate decisions. To analyze those
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challenges. These include AI for Science, quantum technologies, advanced imaging, and materials-related research. The Department contributes to the delivery of undergraduate teaching in physics and mathematics