257 computational-physics-"https:"-"https:"-"https:"-"https:"-"Universidade-do-Minho" positions in Switzerland
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the North Atlantic salinity relative to AMOC variations, and interpreting them with the aid of process models and experiments with tracers in atmosphere-ocean general circulation experiments. Job description
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well as external academic and industry partners. Your profile You are a highly motivated and talented candidate with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a
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intelligent materials. Our work explores new paradigms for monitoring infrastructure through physics-based modeling, sensing systems, and data-driven approaches. The advertised position is part of a research
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
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institutions within the consortium. After completing the program, you will have a thorough understanding of the process from research via innovation to industry implementation and a strong career-defining
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) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields, and be at the beginning of their research career. Principal
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range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental
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where the decision process is clear; (iii) fairness and non-discrimination: designing algorithms to make unbiased decisions by mathematically defining fairness (e.g., demographic parity, equality
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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of