556 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "ODTÜ GÜNAM" PhD research jobs
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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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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 19 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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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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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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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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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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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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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