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medicine and bioinformatics through innovative data integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital health and
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
communication and information management skills We offer: A varied and challenging job within a high-caliber network from politics, science, business and society Work in national and international networks with
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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, Mechatronics, Data Science, or a closely related field Strong background in signal processing, measurement systems, or data analysis Programming skills in Python, MATLAB, or similar scientific computing
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analysis, and/or optogenetic methods. Experience with developmental neuroscience, ion channel biology, mouse models, and quantitative data analysis is highly desirable. This Postdoctoral appointee may be a
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biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. R26-01 Materials Science R26-02 Materials Science (for women) - Researcher [Field specified]: one position
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biostatistics, bioinformatics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and statistics / machine learning is required Previous work and
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Space Agency (LSA), the European Space Agency (ESA) and the Luxembourg Institute of Science and Technology (LIST). ESRIC’s mission is to be an internationally recognized centre of expertise for scientific
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. The position is embedded in a broader research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking