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. Advanced Functional Materials 31, 2006824. https://doi.org/10.1002/adfm.202006824 Profile and skills expected: - Master 2 (or equivalent) with knowledge of wave physics, instrumentation and a taste for
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a Master's degree in polymer chemistry, physical chemistry, or materials science. The position requires good oral and written communication skills (English level B2). We are looking for a candidate (M
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specialist of the sociology of Wikipedia and a senior data engineer from the Wikimedia Foundation. Candidates (M/F) should hold a Master's degree in Theoretical Physics and/or Complex systems, and have a good
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relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international collaborators Degree : Master of Physics, data
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]. This application is particularly suitable for the development of new hybrid weather forecasting solutions for two main reasons: (1) although complex, the dynamics of atmospheric phenomena can generally be modeled by
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to the formation of carbon particles in order to master particle-plasma and microwave interactions and develop more efficient processes with strong industrial potential. The objective will be to contribute
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Master's degree in ethology, psychology, neuroscience, or cognitive sciences. Scientific curiosity, adaptability, and the ability to work in a team will be significant assets given the interdisciplinary
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influencing the use of different strategies. We will focus on two main types of endogenous factors: personality traits and cognitive skills. With an interdisciplinary focus, this project explores these inter
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research support staff. They come from different institutions and are distributed across the laboratory's three sites: the main campus, Minatec, and Montbonnot. The laboratory's ambition is to build
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Language Processing, can be used to extract linguistic knowledge, particularly concerning tones. The main object of investigation will be the Yongning Na language (ISO code: NRU). This work, based on fine-tuning models