108 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Babes Bolyai University" positions at Chalmers University of Technology
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flows, or the motion of charged fluids such as plasmas. A brief account of the history of geometric mechanics is given in these slides: https://klasmodin.github.io/assets/pdf/modin-geometric-mechanics
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participate in the development of passive radar capabilities in future 6G networks. These communication systems will integrate terrestrial and non-terrestrial networks where communication signals are linked via
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pore‑structure evolution using analytical laboratory techniques and synchrotron facilities. About the position The position is aimed at a doctoral degree and the doctoral student's main task is to devote
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central to the development of the project, and also responsible for the implementation, validation and data analysis of the numerical tools. You are expected to learn to develop your own scientific concepts
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, learning and outreach. The research topics at the department span from fundamental to applied research with the aim of contributing to the development of a sustainable society. A wide range of experimental
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development. We provide high-quality education at the bachelor's, master's, and doctoral levels, offering over 120 courses each year. We also have extensive national and international collaborations with
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to the development of a bio-based, sustainable society. In particular, we focus on microbial processes and enzymes acting on renewable biomass. The division has an extensive instrument platform for analytics
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include Boltzmann Generators [1 ,2 ], Surrogate-model Assisted Molecular Dynamics [3 ], and Implicit Transfer Operators [4 ,5 ]. The Postdoc will lead both the conceptual development in close collaboration
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research on the unique chemical and physical phenomena that prevail at very small dimensions, and promote the development of technologies that utilise these phenomena.The announced PhD positions can be
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification