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Additional Information Eligibility criteria You hold a PhD in physics, physical chemistry, materials science, or a related field. You have solid hands-on experience in material synthesis under inert atmosphere
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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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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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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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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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FieldPhysics » AcousticsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD thesis in acoustics, mechanics - Skills in structural acoustics, signal processing, antenna processing
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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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to work both in a team and independently. • Ability to supervise interns and PhD students. • Scientific article analysis, scientific monitoring, and writing of scientific research articles. Website
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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