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criteria - Computer skills, particularly in Python and C++, are necessary for the development of the analysis software. Knowledge of Git version management software is also desired. - Proven knowledge
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Université Lumière Lyon 2 and the Laboratoire de Recherche Historique Rhône-Alpes (LARHRA, UMR 5190). ENVIROSHIFT investigates how Earth scientists contributed to the production of environmental knowledge and
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controlling the entire image chain, from modeling the acquisition system to specific knowledge of the application domains. Another common point of much of the research carried out by the team is the use
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PhD with a specialisation in electromagnetics, antennas, microwaves or high-frequency electronics. A solid knowledge of device design, electromagnetics, circuit theory and the use of commercial
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in materials science, inorganic chemistry, and electrochemistry Knowledge of electrochemistry and water electrolysis or fuel cell technologies is highly desirable Ability to work independently with
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Bioinformatics analyses guided by prior mechanistic knowledge will be conducted, using the known grouping structures among features in the omics data and dedicated approaches for structured data analysis With
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environmental exposures and human health. Good statistical knowledge. Experience with common programming languages (R, Python). Experience managing and analysing large datasets, particularly environment and/or
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) · Knowledge of heat transfer and multiphase systems · Scientific programming skills (C/C++, Python, or Fortran) · Experience with advanced numerical methods (LBMor similar) · Familiarity with HPC
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Vector Network Analyzer (VNA) measurements. • Good knowledge of dielectric materials and their frequency-dependent properties. • Experience with vacuum instrumentation or controlled environmental testing
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Additional Information Eligibility criteria - Remote sensing (applied to tropical forests) - Knowledge of (tropical) climatology is an advantage - Statistical analysis of time series (correlations, composites