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collaboration among scientists, IT professionals, and other stakeholders involved in the research process. To achieve its goals, the R-IT group invites applications for a R/Python scientific support role
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of the design space, aiming to improve the interpretability and understanding of the possibilities and limitations of the problem. This involves implementing additional embedding models in the AIXD Python core
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processing, or condition monitoring Programming proficiency in Python, MATLAB, or comparable environments Strong interest in applying AI to real-world manufacturing problems Required people skills Self
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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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languages (Python, C++). Familiarity with software engineering practices such as version control, automated code testing, code packaging and containerisation. Problem-Solving: Strong analytical and problem
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health. She or he will be experienced with Python programming for bioinformatics software development, collaborative development on GitHub, and comfortable coordinating with a collaborative team of
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on such hardware. Several technologies are considered for running on GPUs, compiler directives which are inserted in the code, or for some parts a complete re-write using a Python domain specific language (DSL
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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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look for a student with proficiency in both C++ or RUST as well as Python. Python routines exist already to do the mentioned tasks for full matrices, but the following needs to be considered