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laboratory testing of acoustic devices, such as microphone arrays and loudspeaker systems, Knowledge of programming, such as Python, MATLAB, and C++, Experience or interest in acoustics and digital signal
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scientific programming (Python, Matlab, R) Knowledge of process engineering (heat and mass transfer) and/or food chemistry. Desired qualities: Scientific curiosity and ability to take the initiatives Autonomy
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and/or Python; experience with Unix/Linux environments and bash is considered an advantage Prior experience in the preprocessing, analysis and interpretation of omics data and a strong interest in
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in Python and/or C++ programming will be considered a strong advantage. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7315-DAMAND-006/Default.aspx Requirements Research
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data from textual sources Conduct data analysis using econometric and statistical tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing
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-speaking children and schools and communicating research findings internationally. You have experience with quantitative data analysis, preferably using tools such as R, Python, MATLAB, or similar software
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parte de los créditos correspondientes), así como la experiencia demostrable en algunas de las siguientes áreas: Sistemas U-Space, lenguajes de programación (TypeScript,JavaScript,Python), y simulación
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experience in Python, R or a similar programming language, and excellent written and spoken English skills. Not sure whether your profile is a perfect match? We encourage you to apply. Motivation, curiosity
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
background in state-space modeling and control theory. Strong programming skills in C++, Python and/or MATLAB. Interest in both theoretical research and experimental validation. Good written and spoken English
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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding