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candidate will support the maintenance of existing tools and the continued development of RHEM, while combining, manipulating, and visualizing datasets using Python and Esri's ArcGIS suite. This is an
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character rendering, animation, and interaction with a Python-based backend that orchestrates large language models, dialogue management, speech processing, memory, and other AI components. We are currently
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uncertainties. Lead the development, maintenance, and public release of clean, well-documented open-source software repositories (e.g., ROS/ROS2 packages, Python/C++ libraries). Execute software-hardware
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desirable. Basic background in MR physics and neuroscience is desirable. Good knowledge of Matlab or Python is a strong advantage. Ability to collaborate with others is a must. About you The candidate should
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Python computer programming languages, prepare and grade programming assignments for the class. The teaching assistant will lead discussion during the lecture period. Qualifications Required: Strong
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of organoids in 96-well plates R and Python programming from YAML in VS Code Statistical analyses using mixed models Personal Skills The candidate should demonstrate: A genuine service-oriented attitude, good
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background with hands-on Python skills. Experience with predictive or uncertainty-aware modelling, AI-guided experimentation or related data-driven methods. Experience with materials, manufacturing
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machine learning/data science, with hands-on Python and experience with modern ML frameworks. Experience with one or more of time-series/sequence modelling, state estimation, constrained or Bayesian
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software that automates one of the world's leading research and education networks. The role combines Python software development with deep networking knowledge and hands-on work in Cisco NSO, YANG, XML
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the development and validation of multi-scale fracture mechanics models. In this role, you will bridge numerical simulation with physical experiment, developing automated Python workflows, running