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network automation using Python and Ansible.
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languages, Matlab, C++ or Python For additional information, please contact Dr. Michael Meyer (michael.meyer@xfel.eu ). Working place will be Schenefeld, in the Hamburg metropolitan area. General information
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estimation (MHE). • Experience with feature extraction or direct methods under low-texture or low-SNR conditions is a plus. • Proficient in C++ or Python; experience with ROS and real-time robotic
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real-time perception systems and deployment on robotic platforms. • Proficient in C++ or Python; experience with ROS and robotic middleware. • Familiar with UAV systems (e.g., PX4), and simulation
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Python. Experience in the analysis of metabolomics, spatial omics, or other biomedical datasets is preferred. Interest in cardiovascular biology, metabolic disorders, translational medicine, or biomarker
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, or high-dimensional data analysis. Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred. Proficiency in R, Python, or similar programming
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series and static data from the next generation of surveys. The majority of development is in Python with some performance critical code in C/C++/Rust. Development incorporates software best practices
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of hands-on experience with programming languages like Python/Java. 3+ years of experience building high-throughput and scalable RESTful APIs using Python frameworks (such as Flask, FastAPI, etc) 3+ years
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and oral communication skills. Competence in information visualization and interaction design. Basic scripting or control software development skills (e.g., Python or C++) are advantageous. Experience
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Dutch), cognitive modeling of human problem solving processes, mechanistic interpretability in AI-models, as well as extensive computer programming experience in R and Python. Given that the project lies