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to hold a PhD degree in subatomic physics or in a related field. Good programming and computational skills are required. In particular, experience in data analysis and simulation, in a large experimental
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, remote sensing), ideally with experience of large-scale studies (large watersheds, continental, global); strong skills in modeling, massive data management and statistical analysis (R or Python software
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27 Feb 2025 Job Information Organisation/Company CNRS Department Laboratoire de physique corpusculaire - Caen Research Field Physics Researcher Profile Recognised Researcher (R2) Country France
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interest will be the study of the topology of the large-scale structures using QSO spectra, the characterisation of proto-clusters and the optimisation of data processing from LBG spectra. IAP, located
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of the various energy balance terms calculated for each meteorological object; - diagnose the components required to produce heavy rainfall and large precipitation surfaces; - draw up a data management plan to
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generation) and we need to develop innovative and efficient methods capable of processing an increasingly large mass of data, which is increasingly complex. The post-doc will work under the responsibility
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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Palaeontology - Expertise in working with big fossil database and in advanced statistical analyses (e.g., GLMM, network analyses
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and detection of climate extremes, hydrological modelling, or statistical downscaling methods. • Experience in handling large datasets (simulations, satellite data, etc.) and using computing clusters
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of Research Experience1 - 4 Additional Information Eligibility criteria The candidate should have a PhD in Particle Physics, Astrophysics or Cosmology. Previous experience in neutrino oscillations is desirable
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(segmentation analysis by machine learning) and automatic language processing on large quantities of digitised historical photographs and their metadata. - management, enrichment and structuring of project data