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for the respective PhD positions.) What we expect: The applicant should have a Master’s degree (MS / MSc / MTech / ME etc.) in Software Engineering, Information Technology, Computer Science, Artificial Intelligence
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problems, including climate change, the energy transition, and artificial intelligence. As a PhD candidate, you will collaborate with experienced researchers, attend conferences, and experience
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engineering, to interdisciplinary fields such as artificial intelligence,nanoscience and biomolecular sciences. Our community has an open and informal character with students and staff from around the world. A
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will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an ambitious group that fosters collaboration, research excellence, and quality education. The
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who meet the following profile: Educational background: You hold (or are close to obtaining) a Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline
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experimental data (from ex-situ and in-situ measurement). Therefore, she/he will develop a way to optimize/guide the experiments trough artificial intelligence approach (machine/deep learning) that he will
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degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline; Interests: You should have a strong interest in deep learning and information retrieval. (This point is
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for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our team! Recent breakthroughs in Artificial Intelligence resulted in the emergence
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with companies. GPDS develops different lines of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization
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artificial intelligence. Good knowledge of linear algebra and optimization tools. Good programming skills in Python and Matlab. Good written and oral communication skills in English. Specific Requirements