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Field
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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive
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dynamical structure directly from time-series data. This includes methodological work on nonlinear state-space reconstruction, system identification, reservoir computing and related recurrent architectures
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. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and
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conduct researches of transport phenomena and dynamics of chemical reaction using the approaches of active matter, nonequilibrium statistical physics, theory/mathematical calculation method of nonlinear
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dynamic) using simulation software such as Aspen Plus, gPROMS, or COMSOL Multiphysics. Solid understanding of process control strategies, including model predictive control (MPC), nonlinear control, and
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in nonlinear continuum mechanics, constitutive modeling, soft tissue modelling or finite element analysis and a passion for advancing the understanding of brain injury? Then this could be a position
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(neutral and doped quantum dots in micropillars, NV centers in waveguides, optical nonlinearities, etc.). Approaches may be analytical, based on the collision model, or numerical. The postdoctoral researcher
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tests and column tests Active laboratory work and coordination of experimental activities Advanced 3D nonlinear finite element modelling using Abaqus, including ambient and fire conditions Model
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CAS will provide the necessary expertise in the analysis of complex data, including multimodal neuroimaging measurements, the use of information theory, nonlinear dynamic systems, network theory
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to better understand the rich nonlinear dynamics when light, in the forms of our engineered superconducting cavities, interacts with artificial atoms based on Josephson junctions. Our research has