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beamline at the ESRF. The analysis and interpretation of the acquired data will require solid proficiency with the various code bases developed on the beamline. The candidate will be trained in the use
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Prototypes Information: A Robust Adaptive Approach. AAAI 2025. - Royer et al. Multiple-environment markov decision processes: Efficient analysis and applications. ICAPS 2020. - Chatterjee et al. The Value
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on the metabolic and trophic variables of planktonic networks. The main activity will be the analysis of in situ data collected during these projects, the estimations of the above-mentioned variables by linking them
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have a strong interest in both theory and numerical work. Numerical work involves code development (e.g., changing the C++ LAMMPS code, programming of data analysis tools, etc.), carrying out large-scale
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Additional Information Eligibility criteria - PhD in neuroscience - Strong background in anatomical characterisation, molecular biology and cell biology - Specific experience in genetics, behavioural analysis
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in France (analysis of career paths, discourse and social dynamics), analysing data collected during fieldwork and producing a research report, accompanied by a presentation at a workshop, written
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such as chemical analyses, microbial culturing, isotope tracing, or data modeling is highly desirable. • Proficiency in data analysis tools (e.g., Python, R, or MATLAB) and excellent command of English
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sensitivity of OECT is crucial. Multi-variate data analysis on co-integrated multi-materials micro-sensor array will be performed. Although the methodology is generic and low cost, the main challenge will lie
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25 Sep 2025 Job Information Organisation/Company CNRS Department GéoAzur Research Field Geosciences Astronomy Environmental science Researcher Profile First Stage Researcher (R1) Country France
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to analyze biological samples under various conditions; or driving the analysis of experimental data and initiating new high-impact publications. You will also be responsible for finalizing existing