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experience Required Qualifications: PhD in Electrical Engineering or a closely related field. Preferred: Demonstrated expertise in AI/ML, including deep learning, computer vision, LLMs, VLMs, multimodal AI
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11th October 2026 Languages English English English We are looking for a PhD student in Computational Neuroscience at the Kavli Institute for Systems Neuroscience PhD in Computational Neuroscience
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Doctoral Programme, see Section 6-1 of the PhD regulations for more information. You must have a master's degree or equivalent in computer science, artificial intelligence, machine learning, computer vision
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applications for a PhD Research Fellow position in fairness in artificial intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group
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requirements for admission to the faculty's Doctoral Programme , see Section 6-1 of the PhD regulations for more information You must have a relevant Master's degree in mechanical and industrial engineering
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, visualization, rendering, modeling, interaction, simulation, game technology, and immersive environments, with strong connections to artificial intelligence, data science, AR/VR, 3D computer vision, and high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
support interdisciplinary training of PhD students and postdoctoral scholars from both the social sciences and biological/health sciences. The goal of this program is to train scientists to move across
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the course of 12 years. The vision is a sustainable future through materials science. Read more: https://wise-materials.org All early-stage researchers recruited into the WISE program will be a part of the
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Yiddish program, along with broad offerings in Jewish history, culture and society. The successful candidate will be a scholar or artist of exceptional distinction, with a PhD or equivalent terminal degree
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. An emphasis will be placed on applicants who have a clear vision about how they will contribute to these emerging areas of aerospace engineering. The Department of Aerospace Engineering and Engineering