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, particularly in Python and ML-related libraries, are required. Furthermore, you are highly motivated to pursue academic research and you are fluent in English, both written and spoken. Additional Information
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or neuroimaging data analysis. Skills in statistics, programming (R, Python, or MATLAB), and preferably familiarity with MRI (ASL, QSM) or biomarker research. Strong motivation to work across disciplines and
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accessed via Kafka. In addition, we use multiple in-house developed Python solutions for detection and handling. You'll be the one connecting log sources, building and maintaining mappings for the log
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and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team is essential, as both
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skills (in English), passion in using AI and an innovative mindset are essential. Excellent knowledge of Monte Carlo simulations using Geant4 is a big advantage. Mastery of C++ and python will be
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to prepare real datasets for AI/ML training, analytics, and simulation workflows; Apply industry-standard tools (e.g. Python, SQL, Jupyter) in a space exploration context; Understand the role of data
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python or data system architecture. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working
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and planetary space communication links. Your tasks will include: Assessing techniques; Performing simulations; Upgrading existing simulators in PYTHON or other programming languages; Supporting
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laboratory test equipment, including RF test setup preparation and execution; developing software tools and scripts in MATLAB or Python for data formatting, automation, and post-processing; recovering
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of the environments. A research-oriented attitude. Solid programming knowledge (Python, and preferably web development languages), and some experience with ABM or willing to learn ABM is a plus A good understanding of