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expertise in research and development in the following areas of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in
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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
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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
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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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connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
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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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PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/134234 Requirements Specific Requirements PhD Student Profile: • Master's in Embedded Systems
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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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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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, 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