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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 7 hours ago
science, or a related field; experience with using and building machine learning models, developing and validating computational analysis workflows, and developing circuit models is preferred; excellent
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: Machine Learning for Engineers; Mark Coates ECSE 552: Deep Learning; Amin Emad McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We
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/ Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer
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Union within the project “A Comprehensive Trustworthy Framework for Connected Machine Learning and Secure Interconnected AI Solutions (CoEvolution)”, - CUP F23C24000210006 – selection code: ipd_10D_0426_09/IINF
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. Fluency in English (C1 level or higher). Hands-on experience with Python and AI/ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace). Solid foundation in machine learning, deep learning, and neural network
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embrace collaboration and create innovative partnerships to foster sustainability and enrich our university, our culture, and region. Please use the following link to learn more about YSU: https://ysu.edu
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includes both conceptual development and empirical validation. We are looking for a candidate with a background in machine learning or data science and strong software engineering skills. The Ph.D. position
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. Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions. Develop optimization and control
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having
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3 Apr 2026 Job Information Organisation/Company C.N.R. - IEIIT Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage