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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
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thinkers, and responsible leaders. Among the distinctive features of the university are its deep dedication to civic and community engagement, robust undergraduate research programs, and a strong belief in
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, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
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generate, transmit, and detect OAM-entangled photons under realistic atmospheric turbulence. Deep learning algorithms will be employed to pre-compensate distortions in real time, maximizing state fidelity
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excellence within the School of Engineering, with a strong focus on Computational Geomechanics and industry-engaged research translation. This role is suited to a senior academic who combines deep technical
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of computer vision and machine learning Proficiency in English (oral and written) Experience with Deep Learning is a plus To Apply: Please send a long CV, motivation letter, and academic transcripts to Prof
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. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. About the
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learning and deep learning Extensive experience with modern ML and NLP methods, including experience with implementing experiments, and publishing in top-tier venues (e.g. ICML, ICLR, NeurIPS, ACL, EMNLP
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expertise in data analysis, machine learning, deep learning, natural language processing, big data, quantitative analysis, and data visualization, as well as proficiency in relevant programming languages and
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) faculty are committed to enhancing student success by engaging students in quality academic instruction, research, internships, global studies, and other experiential learning opportunities. There is an