76 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-California,-Merced" positions in Switzerland
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position: Structure-activity relationships for CO2 capture materials
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Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Computational Design and Digital Fabrication of high-performance timber plate structures
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predict protein-protein complementarity, design artificial protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover
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and production enabled through digital manufacturing techniques. To our infrastructure belongs the Robotic Fabrication Laboratory (RFL), a unique digital construction environment, which allows for world
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of semiconductor devices. The aim is to predict these properties for arbitrarily large structures, at a DFT-level of accuracy. As a starting point, you will extend the large-scale equivariant GNNs we develop
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property relationships, and application-driven R&D, in close collaboration with academic and
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is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
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programming skills (ideally Python) and commitment to clear, reproducible, well-structured code Working knowledge of SQL and/or NoSQL databases (and motivation to deepen your expertise) Strong analytical
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opportunity to work with leading experts across Europe to design and deliver sustainable meta-materials for vibration mitigation, self-aware meta-components and carbon-efficient meta-structures
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are asked to negotiate rules and anticipate the impacts of innovations that can barely be tracked, often with limited resources and no structured access to expertise. Scientists, meanwhile, lack clear entry