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: Behavioral Sciences and Consumer Decision-Making The candidate will develop and test behavioral models explaining consumer adoption and purchasing intentions. Potential theoretical frameworks include: Theory
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and purchasing intentions. Potential theoretical frameworks include: Theory of Planned Behavior (TPB) Technology Acceptance Model (TAM) Diffusion of Innovation Theory Behavioral Economics Consumer
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technologies. The candidate will work at the intersection of Artificial Intelligence, Scientific Machine Learning, and Energy Materials, contributing to the design of self-driving laboratories and no-code
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on propulsion systems for small satellites, with emphasis on chemical, electric, and green micro-propulsion systems. They will also teach propulsion theory and lab-based courses, and contribute to CubeSat mission
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and develop recommendations. Area of specialization: soil microbiome analysis, general microbiology, Molecular Biology, Agronomy and, Sequence dat analysis and R coding skills Main responsibilities
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challenges Research in modulation, coding, and fault-tolerant communications Contact Information: For questions or more information, please get in touch with [email protected] UM6P.