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and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
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experience in atomistic simulations and catalysis is an advantage. Our offer We offer a stimulating, multidisciplinary research environment within the ETH Domain, where communication and interaction to create
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
interactions, aggregation mechanisms, and gelation kinetics in polyimide and related systems Designing and synthesizing new monomers, modified backbones, or grafted polymer architectures to deliberately tailor
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interactions and their integration with wider energy networks. Your tasks The focus of this research is to design and develop (physics-informed) hierarchical graph neural network architectures that can capture
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to stay on a purely academic track. Your responsibilities will include: Help coordinate project activities in close interactions with industrial project partners Supervise intern students contributing
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strategies mainly based on our non-destructive X-ray based methods: X-ray diffraction, scattering & imaging. Active interactions and support of scientific collaborators and industrial partners. Presentation
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key contributions to novel personalized strategies of particles design for drug delivery, imaging, or diagnosis. Characterize, understand, the interaction of particulate materials with cells or tissues