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coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD
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sedimentological (grain size distribution), geochemical (XRF, ICP-OES, C/N), and soil physical (density, pore volume, water conductivity) analyses in the laboratory, multivariate statistical evaluation of the data
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of the proposed designs; • mathematical modelling of power semiconductor systems and distribution networks using MATLAB/Simulink and PLECS; simulation-based verification of the complete system, including
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developing profile and an understanding of relevant methods and techniques. Strong numerical and computational skills, plus proficiency in at least one of: Python, MATLAB, or C++, particularly for data
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 12 days ago
/public/classic/en/offres/2026-10471 Requirements Skills/Qualifications Technical and software skills and level required : Good programming skills in Python, MATLAB, and C++. Ability to design and implement
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skills (Matlab, Python). Ability to work with large datasets. Knowledge of basic statistics. Ability to work in an interdisciplinary team. At least 4 months of experience in research activities carried out
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essential. Additionally, he/she is expected to have good skills in calculation/simulation software (e.g., Matlab or Scilab) and programming (in languages Python, C++). Experience in aerodynamics is
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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
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minewater systems, with additional model development and customisation undertaken in MATLAB or Python to extend capabilities and explore sensitivity analyses. Experimental data from controlled experiments
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psychology, reskilling or generative AI at work. Strong quantitative or mixed-methods skills and interest in measurement and longitudinal organisational research. Experience with surveys, multivariate analysis