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methods for DSGE/OLG models and dynamic programming models. Familiarity with simulation and calibration methods. Strong skills in econometrics, including familiarity with method of moments and maximum
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rare-earth ions, with improved quality for optical, magneto-optical and laser applications. Different growth methods will be used such as Czochralski, Bridgman and Flux methods. Numerical modelling will
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theory, AMO–condensed matter interfaces, advanced numerical simulations, quantum sensing, hybrid quantum systems Dr. Ceren B. Dag invites applications for a postdoctoral fellow to support theoretically
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, stochastic thermodynamics, and quantum physics. The research will focus on three main directions: Thermodynamic computing: developing physics-inspired alternative models of computation that aim to reduce
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nonlinear, ultrafast, and integrated photonics. Develop predictive theoretical and computational models for optical materials and photonic devices. Perform numerical modelling and simulation of optical
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in these brains at various stages of development. The data will then need to be used to model mathematically the evolution of the gene regulatory network controlling forebrain patterning. The role
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designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal of applying them to data. Collaborative endeavours
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. This role focuses on the aerodynamic modelling of floating wind turbines and their dynamic response under realistic wind and wave conditions. You will conduct high-fidelity CFD simulations of floating
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scattering and absorption and black carbon. Several years of aerosol-dynamics and Lagrangian box-model simulations including runs with modified land use and aerosol process representations will be analyzed
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. Knowledge of GWAS analyses (PLINK and SKAT-O), and multivariate and mixed model analyses are also recommended. We are seeking motivated postdocs with strong analytical skills to join our effort and generate