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Wave , Department of Microtechnology and Nanoscience, focused on innovative research in terahertz technology. About us The Department of Microtechnology and Nanoscience advances the frontiers in quantum
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Research Centre. Mōu | Who You Are To be successful in this position, ideally you will have: A PhD in Computer Science or a closely related field Expert knowledge of deep learning, large language models
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/1696192/aab7jokzk7x4paq7m2y9pa2p6.Wetzlinger-2022-NAHS.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines
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Understanding - Face / Body Tracking, 3D Avatars - Non-Linear Optimization - Media Forensics / Fake News Detection How to Apply: Follow the instructions on our application platform: https
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advancements and apply this knowledge to enhancing ongoing research initiatives. Qualifications Basic qualifications A PhD (or equivalent international degree), completed before the start date of the position
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368905 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor
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Appointment Term: One year Appointment Start Date: Fall 2026 Group or Departmental Website: https://earlychildhood.stanford.edu/(link is external) How to Submit Application Materials: To apply, please email
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area. Strong publication
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training and will collaborate with PhD students, postdoctoral scholars, faculty, research staff, and external partners. Stanford collaborators include HAI, the Stanford Technology, Impact, and Policy Center