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related field. Strong background in robotics, estimation, control, or machine learning. Strong proficiency in Python and/or C++ and experience with ROS/ROS2. Demonstrated research experience (e.g., Master’s
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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central aspect of your research lies in the combination of qualitative and participatory research methods with quantitative research methods to integrate different normative perspectives with analytical
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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knowledge of working in laboratories, with scientific equipment, and in digital data processing. You are motivated to learn how to control modern technologies, methods, and processes in the field of optical
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mycological methods and Omics techniques preferable (particularly proteomics) • Good command of German and/or English required; willingness to learn either English or German is expected We are offering • A
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, (food) marketing, or related social sciences disciplines, strong analytical skills, experience with relevant statistical methods, proven interest in topics related to sustainable food systems, and strong
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Would you like to gain experience in a modern and professional team and learn firsthand how research and development in the field of computational imaging works? Then you've come to the right place
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and analytical working style Excellent ability to cooperate and work in a team Fluent knowledge of written and spoken English Our Offer: We work on highly relevant innovative topics and offer you the
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training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and familiarity with machine learning