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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
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development from spatial transcriptomics data. Activities : – design of a new mathematical method – monitoring and study of publications relevant to the field – programming/coding in Python (Pytorch
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/Qualifications Candidates must have a master's degree, preferably with a background in semiconductor physics. Basic knowledge of electronics and Python programming would be appreciated. Applicants must have a keen
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
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Background in acoustics, fluid mechanics, aeroacoustics, and numerical methods. Specific Requirements hands-on experience with computing in C/C++, Fortran, Python, or similar programming languages excellent
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
Python. Knowledge of a distributed computation framework is a plus. The candidate should be proficient in English. Knowing French is not necessary, as daily communication in the team is mostly in English
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modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
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statistical processing (e.g. R, Python) Knowledge of atmospheric chemistry and/or air quality would be an asset Ability to work independently, scientific rigor, adaptability, teamwork skills, open‑mindedness