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the framework of the contract. This doctoral project lies at the intersection of geography, economics, statistical physics, and complexity science. It examines the relationships between residential locations and
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Additional Information Eligibility criteria Knowledge : - Very good knowledge in Python - Good knowledge in statistics - Expertise in VHE high-level analysis - Knowledge in VHE gamma-ray and neutrino detectors
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in experimental orchards in the Centre-Val de Loire region, • laboratory experiments (insect rearing, behavioral assays, trophic interactions), • molecular (metabarcoding) and statistical analyses
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, GDPR). -Recruiting participants. -Establishing experimental protocols and creating the material and documents necessary for data collection. -Collecting the data. -Performing statistical analysis
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new pollen analysis • Modeling and Statistics: Utilize GIS, R statistical environment, and other tools for pollen-based modeling (REVEALS and LOVE models) and statistical analysis. • Collaboration: Work
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-assisted mass spectrometry and vibrational spectroscopy. Advanced statistical analyses will be applied to link the information on the composition of the species, obtained by mass spectrometry, with
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. It is organized into three research divisions (Signals & Statistics, Automation & Systems, and Telecoms & Networks) and three research support divisions (Human Resources and Communication, Financial
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) on stability and performance, using ex-situ and in-situ characterization. The candidate will be trained in plasma process engineering (ICPCVD/PECVD), experimental design (statistical/numerical methods), and
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. Good experience in data analysis, knowledge of statistical techniques for high energy physics ex-periments, and an interest in detector development are required. Previous experience with the analysis
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, statistical and case of study of switchbacks. Comparaisons with synthetic observations from the dedicated simulations of the JET2SB project. 2) Collaboration with the local LPC2E team, as well as the full