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experimental physics, nanofabrication, low temperature measurements, THz optics, Python programming would be an asset. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR2940-ELOBER-173
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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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, particularly EEG; • Programming experience, particularly in R and Python; • Proficiency in statistical methods commonly used in psychology and neuroscience (ANOVA, linear models, etc.); • Familiarity with
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bioinformatics, computational biology, genomics, evolutionary biology or a related discipline. Essential skills include experience with genomic data analysis, proficiency in Python and/or R, familiarity with
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with 3D cell culture, organoids or tissue engineering will be considered a strong advantage. Experience with image analysis software (ImageJ/Fiji) and scientific computing tools (Python, R or equivalent
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bacterial genome analysis and comparative genomics. * Skills in bioinformatics applied to genomic data analysis. * Experience in data analysis and visualization, particularly using R and/or Python. * Ability
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analyze multi-omic data provided by our collaborative partners and interpret the results from a biologically relevant perspective. Planned activities include Python code development, the analysis and
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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
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, statistics and scientific computing. * Proficiency in a scientific programming language, particularly Python, and the ability to develop reproducible processing procedures. * Knowledge of machine learning and
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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