353 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"Aix-Marseille-Université" Fellowship positions
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of Professor Kevin Coulembier and Associate Professor Daniel Tubbenhauer . The project is concerned with representation theory in a broad sense, with a focus on the role of monoidal (tensor) structures and on
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research that integrates engineering models of power systems with modern econometric and economic analysis. Responsibilities include conceptualizing and implementing statistical and structural models
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experiment is a next-generation long-baseline neutrino oscillation experiment that is currently under construction in Japan. Hyper-Kamiokande will use an upgraded (anti)neutrino beam and a water Cherenkov
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part of the research team to establish and understand the structuration of algae/soybean/mung bean proteins for high quality alternative protein foods including through high moisture extrusion. Key
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Theory (DFT) calculations using established codes (e.g., VASP, FHI-aims). Demonstrated experience with traditional methods for modeling atomic site disorder, such as special quasi-random structures (SQS
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materials, with microwave metamaterial and device designs, to help develop a new class of reconfigurable electromagnetic structures. This will involve using various simulation programmes, both for mechanical
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of empathy in shaping health outcomes; access to healthcare; the implications of concepts such as the ‘medical gaze’ and ‘epistemic authority’; the social construction of health; the narrative ethics
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fabrication of novel knitted structures embedded with energy-harvesting yarns. You will be expected to: Apply fundamental understanding of material–structure–function relationships in knitted fabrics Overcome
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handling, digestion, data processing and computational workflows for high order structure determination, that will accelerate Amgens therapeutic pipeline. This is a 4 year term. What we expect of you We
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statistical methods including multilevel modelling, psychometric scale validation (EFA/CFA), structural equation modelling and causal inference approaches appropriate for complex education datasets. Advise