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Field
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experiments in second harmonic generation - Interpret the results Part of the work will be carried out at the Institut Néel: preparation of HP-HT experiments within the MRS (Materials, Radiations, Structure
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weaving, knitting, dyeing, and clothing. You should have basic knowledge of electronics and a good ability to collaborate with internal and external parties, take initiative, work in a structured way, and
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disease, systems biology (including the modeling of signaling pathways and biomolecular structure-function relationships), and stochastic modeling of disease processes such as progression, detection, and
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Ecole supérieure de physique et de chimie industrielles de la ville de Paris | Paris 15, le de France | France | 4 days ago
environmental footprint that is almost ten times smaller. This would allow the construction of energy transmission highways across continents, taking advantage of the abundant winds in northern countries or off
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molecular structures, and working on their design, synthesis, characterization, reactivity and analysis in various environments. The Institute's expertise is based on a number of key skills: theorists in
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to apply. About SUSTAIN-FIT: SUSTAIN-FIT supports 50 three-year incoming fellowships in sustainability and industrially focused research, offering international and inter-sectoral mobility, structured
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mechanics, optical components, thermal management, and tracking or control mechanisms. Use existing simulation tools (e.g., ray-tracing, CFD, thermal and structural solvers) to analyze optical performance
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Centre of Excellence in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and
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of Excellence in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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cutting-edge analytical approaches (Multilevel Vector Autoregressive Models, Dynamic Structural Equation Modelling, Hidden Markov Models, Causal discovery algorithms, Reinforcement Learning), Contributing