14 postdoc-distributed-algorithms Postdoctoral research jobs at Nature Careers in Belgium
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attacks Develop and implement ML algorithms to identify vulnerabilities and predict potential threats in supply chain systems Prepare project deliverables and disseminate results through high-quality
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About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and...
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, working in close collaboration with a Ph.D. candidate whom you will be co-supervising and another postdoc with expertise in experimental set-up design and construction as well as fluid dynamics, as
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About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and...
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Job description We’re looking for a postdoc with hands-on experience in genetically modifying marine phytoplankton—someone excited to learn how microbes naturally sequester carbon in the environment
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application tool. The call will remain open until a suitable candidate is identified. Make sure that your application includes: A detailed CV A one-page summary of past research activities (e.g. in PhD/PostDoc
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Mobility (UAM) Experimental emulators, prototypes, testbeds and distributed research infrastructure test platforms Set up real-world testing both in the laboratory using emulators and software defined radios
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About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and...
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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have