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from AI and machine-learning. Experience in construction management is regarded as an asset. In addition, the candidate will: Contribute to teaching in the Bachelor in Engineering and Master in Civil
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preferably adopt a systems-level approach and make use of high-throughput methodologies. Effective application of advanced machine learning analysis and data integration approaches, potentially through
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, energy conversion, machines, power quality, and distribution Experience in designing and integrating electrotechnical test benches Proficiency in microcontroller architectures (STM32, ESP32, Arduino, etc
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. Assist in stock management, data management, and the QC program of the facility. Train the users on the analyzers and FACS machines. Assist researchers with acquiring, analyzing, and presenting their data
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expertise in architectural design and methodology. You can demonstrate experience in practice in developing and/or customizing digital workflows and tools. Experience with automation and machine learning
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Python and R You have experience in the analysis of omics dataset using statistical or machine learning methods You have experience in the development of wet lab protocols for performing in vivo CRISPR
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-throughput omics, Linux command line, machine learning and statistics, is a plus. You are stress-resistant and flexible, with strong organizational skills. You can work autonomously as well as in a team. WHAT