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Science, Electrical Engineering, Artificial Intelligence, or a related discipline. Strong interest in 3D computer vision and machine learning methods. Proficiency in Python and experience with deep learning frameworks
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for a tenure-track position in the Control systems and intelligent decision-making within the Electrical Engineering (EE) program. Emphasis will be given in: a) Machine and Reinforcement Learning
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extensive knowledge in CE courses such as Solid Mechanics, Probability and Statistics, Structural Analysis, Transportation Engineering, Numerical Methods, Geotechnical Engineering, and Environmental
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(UF), membrane distillation (MD), and nanofiltration (NF) processes. The role involves advanced membrane fabrication techniques and a range of membrane characterization methods, such as SEM, EDS, TGA
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perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position
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power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical modeling and machine learning approaches for forward and inverse problems in radiation
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electrophysiological methods like MEG. The candidate will work in a multidisciplinary environment consisting of PhD- and MA-level scientists, and undergraduate students. Applicants must have a BA in Psychology or
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: Applicant must hold a PhD in Economics or Computer Science. Requires expertise in experimental methods, and especially the experimental study of human-machine interaction. Must be ambitious, well-trained
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researchers and PhD students. The center is looking for one research fellow to work on the following topics: Numerical simulation of Radiative transfer Radiative transfer applied to proto-planetary discs
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methods (e.g., EIS, CV) and surface functionalization. Knowledge of materials for charge transport and ion exchange. Prior collaboration with international or multidisciplinary research teams. This position