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the university and with industry to translate discoveries into clinical proof of concept studies. Working with a team led by Drs. H. Kim Lyerly, Zachary Hartman and Josh Snyder, this program spans basic discovery
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technology development. Why become a KTP Associate? The KTP programme is designed to accelerate your career, expand your skills, and grow your professional network. You will have the opportunity to: Work on a
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will be embedded in the Computational Mechanics (Legato ) group and enrolled in the Doctoral Programme in Complex Systems Science. Depending on background and interests, the PhD may include: Development
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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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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 15 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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(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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critically, and propose innovative solutions Strong organisational skills with the ability to plan and organise work effectively and generate comprehensive reports Desirable Experience in advanced
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developing measurement and control systems for experimental setups, including programming and data handling participating in research projects that may include studies of plasma-catalytic processes
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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
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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