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). 2.5. Tasks to be carried out: · Adapting and converting astronomical datasets to appropriate formats for processing using various AI tools and models. · Verifying that the implemented algorithms work
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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-generation observatories such as the Einstein Telescope and the LISA mission. Research duties will involve scientific programming, high-performance computing (HPC), algorithm development and analysing data
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algorithms) on the new paradigm’s BOLD time series. Job description: The RA will be analyzing data and writing. PI and research group: The Computational Vision & Reading Group with the Language and Memory
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to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes
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, and optimization, with mastery of sensing technology, big data analysis, and AI algorithm applications; show innovative thinking for solving complex system control challenges; be capable
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. Main tasks and responsibilities: Development and validation of machine learning algorithms for health-related experimental data. Improvement of data analysis workflows for metabolomics, chemical sensing
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in KIZ, contributing your expertise in evolutionary biology, genetics, molecular and cell biology, ecology, bioinformatics, and/or statistics. Qualifications: Candidates should have a PhD degree in a
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to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes
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computer science, especially algorithms and computational complexity. Applied mathematics: computational mathematics, statistics and data science, physical mathematics, mathematical and computational biology