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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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the requirements for admission to the faculty's Doctoral Programme Excellent oral and written presentation skills in English (equivalent to level B2) Excellent reading skills in the languages of both
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, Mechatronics, Data Science, or a closely related field Strong background in signal processing, measurement systems, or data analysis Programming skills in Python, MATLAB, or similar scientific computing
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personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute
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innovation, thought leadership, and excellence in business education. We have nearly 6,000 students within undergraduate, graduate, and PhD programs spanning six academic departments—accounting, business
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Texas (UNT), part of the College of Information, offers nationally ranked, iSchool-accredited programs focusing on the intersection of people, technology, and information. It provides diverse, flexible
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on this project have been admitted to prestigious PhD programs at New York University and Imperial College London. The Research Assistant will benefit from extensive mentoring from the Project Leader and his
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 29 days ago
3D vision topics such as 3D mesh models, statistical shape modeling and articulated pose estimation Solid ML/AI foundation Strong programming skills in Python (CUDA is a plus) Hands-on experience with
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considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including