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and generous family tuition benefits. The teaching load for this position is five course sections per academic year. The Freeman College embraces the teacher-scholar model. Our new colleague will show
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systems, devices (including fabrication) and sensors, robotics and automation, artificial intelligence and machine learning, advanced electronics, and communications. Our faculty are particularly encouraged
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mathematical modeling and programming. * Research experience and publications in machine learning, complex networks, and mathematical modeling. * Excellent English communication skills (written and oral
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of cybersecurity. Examples areas of interest include, but aren’t limited to: ● Problems at the intersection of cybersecurity and artificial intelligence/machine learning (AI/ML) ● Systems and
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including: Multi-scale Modeling / Computational Biologist / Bioinformatician – Research Scientist Artificial Intelligence (AI) / Machine Learning (ML) – Research Scientist Experimental Immunologist – Research
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
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, machine learning, energy technology or related subjects Prior experience in building predictive models using regression techniques, neural networks (CNN, GNN) or symbolic regression Experience in
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the following ones. Exploration of active auditing techniques for large machine learning models, use of reinforcement learning, potential application to recommender systems. The PhD will mainly investigate
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including antenna and/or microwave engineering * programming skills and working knowledge of Matlab programming environment * knowledge of mathematical modelling, machine learning and artificial intelligence