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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
are natural languages with their own grammar, structure, and rich visual-expressive features. Unlike spoken languages, they convey meaning through a combination of hand movements, body posture, facial
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preferences, individual differences, and the relationship between objective acoustic indicators and subjective perception. The resulting knowledge will guide the development of intelligent acoustic sensing
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system perform well. This PhD project aims to answer this question. You will develop a unified mathematical theory and framework to study and explain how different reservoir systems work and how to design
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deployment scenarios to evaluate future steel production pathways and circular economy strategies up to 2050. Quantifying the environmental impacts of primary and secondary steel production under different
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modelling is an advantage. Strong quantitative skills and interest in statistical modelling, or simulation approaches. Experience with R, STATA, Python or similar software. Ability to work independently and
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. PCR, nucleic acid handling). Experience in computational data analysis (for example in Python). Ability to work both independently and as part of a collaborative, multidisciplinary team. Meritorious
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international and most innovative employers in the region. With more than 6 000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push
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from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to
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computational biology and not afraid of challenges. When the data or model outputs do not make any sense, you dig deeper! You communicate openly and thrive in a collaborative environment across different
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different