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hold a Ph.D. in materials physics or scientific imaging, with proven experience in spectral imaging techniques (e.g., software such as Python, R, HyperSpy) and/or synchrotron techniques (luminescence, UV
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(PIT-tags, hydrophones, geophones, etc.). 2) Modeling and data analysis: - Proficiency in GIS tools (QGIS, ArcGIS) and hydraulic modeling software (HEC-RAS, TELEMAC, Mike). - Advanced programming (Python
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reproducible research and to mentoring students. Research Environment and Supervision: The postdoc will be a member of the Astroparticle and Cosmology group at LAPTh, and will be supervised by Dr. Francesca
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involve selecting various event topologies to constrain background and perform detailed study of double-beta decays. GEANT4-based simulations will be used with the software FALAISE developed by SuperNEMO
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: In-depth mastery of techniques in structural and molecular biology, biochemistry, cell biology, and immunology is essential. Proficiency in using computer tools and software dedicated to data
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will benefit from the unit's documentary, computing and software resources, as well as the computing facilities mobilised within the framework of the project, according to the arrangements defined by
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- 4 Additional Information Eligibility criteria - Evolutionary genomics analyses on large NGS datasets -Knowledge on coding (C ,C++, or java), script writing (python, perl), R software and shell Unix
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software developed in the CMS collaboration. The candidate is expected to play a prominent role in ensuring the timely and successful construction of the upgraded CMS outer tracker. These activities will
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. Proficiency in fluorescence microscopy imaging techniques is also required. Skills in processing and quantifying scientific images (e.g., using ImageJ/Fiji or equivalent software) are additionally desirable
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software, analytical platform, chemistry and microbiology laboratories. **Main contacts (CNRS internal and external network):** JH Renault (ICMR), Véronique Eparvier (ICSN), Maria Halabalaki (NPMC, Athens