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information * Applied mathematics, computational physics, or computer science - Strong programming skills (e.g., Python, PyTorch, TensorFlow) - Experience in one or more of the following areas: * Generative AI
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quantitative geoscientific data. • Experience with one programming languages e.g. Python, Matlab, R. Critères essentiels : - Être titulaire d'un doctorat en géomorphologie ou dans une discipline étroitement liée
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predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS
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modeling frameworks, particularly global chemical transport models (e.g., GEOS-Chem). • Proficiency in scientific programming (Python required; Fortran/C++ desirable). • Understanding of high-performance
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languages: C, C++, Python... o Practical experience on robotic platforms is highly appreciated. o Autonomy and teamwork. o Writing skills in French and English. Additional comments IMPORTANT Candidates must
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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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in R or Python, and a motivation to combine rigorous research with social impact. Alongside their independent research, the recruited candidate will work on the economic policy platforms of populist
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. Applicants should hold a PhD degree in Earth sciences, atmospheric sciences, physics, or similar fields, with: (i) a background in dust processes and lifecycle; (ii) experience in computer programing (Python
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of Research ExperienceNone Additional Information Eligibility criteria Knowledge in steganography, steganalysis, and generated image detection. Knowledge in image generation. Proficiency in Python. Additional
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., Python, R, MATLAB, or similar) are desirable. Ability to work independently as well as collaboratively in an interdisciplinary and international research team. Good command of written and spoken English