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interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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… and current call: https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/o… * PhD Offer in Montpellier, South of France - Within the doctoral network EURECA, the LIRMM / CNRS is offering
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 21 days ago
to contribute to Foundations of Machine Learning research focus. Strategic Researchers at TIMC work on a variety of complex challenges and they draw on a variety of tools including deep mathematical theory and
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this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert knowledge of deep
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fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks, generative artificaial
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to SAFE. Delivering EVU course from SAFE center. Required selection criteria A PhD degree (or equivalent) in biometrics, information security, computer science, electrical engineering, or machine learning
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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. Demonstrated teaching excellence in higher education. Demonstrated ability to supervise students in learning projects. PREFERRED QUALIFICATIONS Earned a PhD from an AACSB-accredited institution. Experience in
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learning and statistics, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based