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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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. In particular, he/she will be expected to :• Select and evaluate the most suitable approaches from the wide range of machine learning and computer vision methods available in the literature, with
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] Subject Area: Machine Learning Appl Deadline: none (posted 2025/10/06) Position Description: Apply Position Description Department: Zaven and Sonia Akian College of Science and Engineering (CSE) Contract type
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18 Mar 2026 Job Information Organisation/Company Instituto Superior Técnico Department Direção de Recursos Humanos Research Field Engineering » Computer engineering Researcher Profile First Stage
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the impact of computer technology on society; historical perspectives; social and economic consequences of large-scale information processing systems and automatic control; legal and ethical problems in
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professional, collaborative, and diverse team environment. Demonstrated knowledge and application of instructional design principles, learning theory, online learning strategies, and technology integration
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Neutral Infrastructure (dfCO2), this role contributes to Program 4: Machine Learning for Carbon Performance (https://dfco2.org.au/program_4 ) that aims to advance the next‑generation AI methods to model
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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Manufacturing • Industry experience in automotive, aerospace, medical device, or other manufacturing areas Minimum Education: Master’s Degree in Biomedical Engineering, Computer Engineering Technology, Computer
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About the Opportunity Responsibilities: Teach selected master level courses of the Master of Science in Electrical and Computer Engineering (ECE) program of the ECE department at the Northeastern