554 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" PhD research jobs
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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
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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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(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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needed Essential Criteria Undergraduate or Master’s degree in Economics or another quantitative discipline, to be completed or close to completion by post start date. Advanced programming skills in R and
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orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and
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to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing
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support: Assist with prototyping and evaluation of multi-agent workflows (e.g., information retrieval, semantic search, recommendation logic, human-in-the-loop processes). Programming and implementation
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part of change Development of training and educational content for continuing education in the field of cybersecurity Participation in the implementation of training and educational programs
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closely related area. Experience with computational fluid dynamics, ideally DNS/LES, and confidence working with large‑scale simulations. Solid programming skills in languages commonly used for scientific