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classification. Simulations and selection effects (Lancaster University): lead the forward-modelling of the combined LSST+TiDES sample, and characterize its associated sample selection effects. This project will
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collaboratively building new generations of world leading simulations. As such, we are particularly interested in candidates who wish to develop or deploy new numerical methods, subgrid models, or applications
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classification. Simulations and selection effects (Lancaster University): lead the forward-modelling of the combined LSST+TiDES sample, and characterize its associated sample selection effects. This project will
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convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles. Potential
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generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
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workflows. The successful candidate will develop novel AI methods that integrate scientific knowledge, simulation, experimental data, and large-scale computing to achieve measurable AI advantage in scientific
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of single vortex in superconducting nanostructures including the design and fabrication of samples using electron-beam nanolithography and performing the corresponding simulations using the Ginzburg–Landau
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. LevelExcellent Research FieldPhysics Additional Information Selection process Application File Candidates application files must contain the following documents: A copy of the identity card or any other document
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collaboratively building new generations of world leading simulations. As such, we are particularly interested in candidates who wish to develop or deploy new numerical methods, subgrid models, or applications
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close to completion) in a relevant area of astrophysics or physics, and should have experience in Type Ia supernova cosmology (supernova modelling, simulations, data analysis and statistical methods) and/or