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of possible methodological components include self-supervised temporal representation learning for large volumes of unlabeled AE/electrochemical time-series data, switching state-space models that describe
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reliable environmental information for safe navigation. However, current operational sea-ice forecasting systems operate at spatial resolutions that are too coarse to resolve fine-scale sea-ice features
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development, radiative transfer modeling, and satellite data analysis. While associated with a sponsored project, the postdoctoral associate will also have opportunities to contribute to broader group research
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, environmental and/or ecological sciences ability to work with large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C
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three large, multi-site human cohorts in Europe. The successful candidate will oversee the development of the bioinformatic pipeline for the >3000 samples ensuring harmonised protocols, high-quality data
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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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regularly publish at top ACM conferences and HCI journals, in interdisciplinary venues such as the Big Data & Society journal as well as across venues in the humanities and social sciences. Terms
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18 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie Research Field Engineering Computer science Mathematics
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. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent