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focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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integration, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We
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Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University’s Experiential AI Institute, will support the development and delivery of AI and data science solutions across
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, electrodes, and cells. The primary function of the position is to advance new knowledge about the materials science and engineering for energy materials and devices, particularly Li-ion batteries and direct
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ongoing trials on pain pathways, collects and analyzes neurophysiologic and biomechanical data, maintains regulatory compliance, and contributes to a research direction on personalization and
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students learn about environmental science is of supreme importance. Students entering the science classroom bring well-developed intuitive frameworks that help them understand, explain, and predict the
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and
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equivalent) in kinesiology, rehabilitation science, public health, health professions education, or a related field, completed by the start date, and 0–3 years of postdoctoral research experience
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Engineering, Chemistry, Materials Science, or a closely related field Knowledge of heterogeneous catalysis, reaction kinetics, thermodynamics, and structure–reactivity relationships Ability to design
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QUALIFICATIONS Education & Experience Required Master’s degree in Data Science, Statistics, Computer Science Computer Science, Applied Mathematics, or a closely related field 2–4 years of professional