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up to 2050. Quantifying the environmental impacts of primary and secondary steel production under different future scenarios, including climate change, energy and resource use, water consumption, waste
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energy/water balance, evapotranspiration, thermal comfort, heat-health interactions. Solid programming and data analysis skills (e.g. Python, R, GIS). Willingness to travel for validation-related fieldwork
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research aims to understand the molecular, cellular and biophysical mechanisms that sculpt different tissue shapes and sizes to suit the lifestyle of the organisms. To achieve this goal, we are focusing
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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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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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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