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experience with thermal transport phenomena and simulations. • Experience with multiscale modelling approaches linking molecular structure to macroscopic properties. • Experience in high-performance
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Description Mission: Manage and execute tasks related to morphodynamic modeling and data analysis. Functions to be developed: Design and execute advanced numerical simulations with the Q2Dmorfo model. Manage
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simulation approaches capable of treating systems containing millions of atomic orbitals. These methods are particularly suited to structurally disordered, amorphous and low-dimensional materials for which
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Computational Nanoscience group at ICN2 develops theory, models and large-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with
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models for simulation and controlled perturbation of brain systems. We place strong emphasis on data harmonisation and cross-cohort integration, combining neuroimaging, multi-omics, and environmental
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performance through iterative design-test-feedback cycles. Participate in the design and simulation of photonic devices and integrated circuits using state-of-the-art modeling tools. Support the development
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on endocrine and neuroendocrine tumours, integrating preclinical models, molecular profiling and translational approaches to identify novel therapeutic vulnerabilities and biomarkers associated with treatment
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studies in mouse models of disease. This role offers a defined period of advanced, mentored training, providing the opportunity to deepen expertise, contribute to high-quality research projects, and
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puzzles in a quantum simulation approach. Moreover, they allow one to engineer and investigate even richer variants of the model, which go beyond the realm of existing materials. In our group, we
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be