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accomplished team! Your personal sphere of influence: As a PhD student (university assistant or prae doc in the Austrian university system), you will work for the ERC project ‘The anthropology of the future
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and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits
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scientific computing, to name a few. Modern LC applications rely heavily on accurate and efficient mathematical modelling of confined LC systems. Typical questions are - can we theoretically predict physically
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from Theoretical Computer Science. Our research group is located jointly at the Faculty of Physics – as part of the Quantum Optics, Quantum Nanophysics, and Quantum Information Group – and at the Faculty
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This exciting project aims to experimentally and theoretically investigate the fundamental nucleation and heat transfer mechanisms in high-pressure flow boiling, in particular Critical Heat Flux
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of Astronomy, Department of Applied Mathematics and Theoretical Physics, Yusuf Hamied Department of Chemistry, Department of Biochemistry, Department of Earth Sciences, Department of Zoology, Department
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. The successful applicant will be based in the Physical and Theoretical Chemistry Laboratory (PTCL), Oxford. Candidates should submit a formal application for DPhil in Chemistry via the Oxford online application
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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with experimental and theoretical scientists from chemistry and physics. For relevant papers by our team, see: Physical Review Letters 133, 1, 013201 (2024); Nature 636, 8043, 603-608 (2024); Dalton
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between