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Field
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: https://www.hds-lee.de/admission/openpositions/ Your Profile Mandatory qualifications are: M. Sc. degree in meteorology, physics, mathematics, or a related field Good knowledge in data handling and
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below and above its Néel temperature. The goal is to disentangle magnetic and structural contributions to electron diffraction data and to compare the results with measurements recorded using X-rays and
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motivated postdoctoral researcher to join our group at the Institute of Genetics and Development in Rennes (IGDR), France ( https://igdr.univ-rennes.fr/en ). Research in the Cyclochondria team led by Giulia
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research and data analysis, and proficient in written and spoken English. Good programming skills (e.g. Python, R, or MATLAB) and previous experience with EEG/fNIRS/fMRI/eye-tracking/computational
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digital data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded
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( https://www.cppm.in2p3.fr/web/en/index.html ). Extended stays at the IRL of KEK (Toshiko Yuasa Laboratory) are to be foreseen as well as shorter stays for collaboration meetings and participation to the
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-frequency) radio data analysis, knowledge in innovative processing techniques, experience in auroral radio emissions. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7326
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, robustness, and fairness of LLM-based research indicators. The main use case for assessing the quality of publications is to improve the reliability of literature-derived data in our technology database
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remote sensing data and the ecophysiological and metabolomic parameters obtained under controlled experimental conditions, and subsequently assess the relevance of these relationships using in situ data
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell