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Field
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within the LIENSs Laboratory a 1-year postdoc or a research engineer to improve the numerical modelling of nature-based solutions in coral reef and saltmarsh environments using the numerical modelling
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. Experience with modelling and simulation of stochastic processes, including birth-death processes is also required. The post is available fixed-term until 31 March 2027, funded by the Medical Research Council
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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genera, should be used for the European simulations, the global version of the model for global model runs Compare the vegetation model outputs with pollen and charcoal records together with experts
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modeling - Coalescent modeling - Coding - Tests with simulations - Data analyses - Paper writing - Presenting results -Integration within the BioDiv team at IBENS - Availability of work station, computer
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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implementation and applications in other scientific and engineering domains. Job description To reliably use simulation-generated predictions in science and engineering, one needs trustworthy mathematical models
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-offs under varying operating conditions. Simulation Build a dynamic simulation of mine haulage energy flows and storage. Validate models in collaboration with industry partners and domain experts
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-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two-phase flow behavior and mixing within the CSTR. These simulations will be used to evaluate
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Job description - Developing device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. - Exploring hardware-level