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machine learning, deep learning, or computer vision Experience with Python and common AI frameworks (PyTorch, TensorFlow) Interest in hallucination detection, robustness, trustworthiness, and (optionally
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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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) and her research group! The successful candidate will join a multidisciplinary team working at the intersection of deep learning, cosmology, and high-energy physics, with opportunities to contribute
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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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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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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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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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of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https
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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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(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD). The project: We are seeking motivated researchers to join our international team