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experience in perturbative large-scale structure modeling (LSS), in particular biased dark matter tracers, in simulated dataset analysis, as well as strong programming skills in Python and C. Familiarity with
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, an expansion of a novel, data-driven, decision support system for UK dairy farmers, supported by Innovate UK. The core task will be developing, expanding, and automating sophisticated simulation models
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) of the University of Macedonia, in the framework of the project "A Human-Centred MSaaS Ecosystem for Enhanced Mission Planning and Execution via Battlefield Modelling, Adversarial AI, and Multi-domain Simulation
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rate and provide a stipend of no less than the standard UK Research Council rate (currently set at £20,780 p.a.) for 4 years. Please note the eligibility criteria set out by the UKRI at: https
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energy states.In this project, we aim to incorporate spectral line radiation into particle-in-cell (PIC) simulations of the solar corona. PIC simulations model plasma behaviour on kinetic scales by
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | about 1 month ago
on modeling, simulation and advanced analysis of energy conversion systems. The activities include studying the effects of low-quality power supplies and ripple current on electrolysis systems, developing
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will design a novel, highly coarse-grained model of the nanocarrier and use Brownian dynamics simulations to investigate its assembly and disassembly mechanisms in relation to nutrient loading capacity
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series
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how these factors influence performance, safety, and lifetime predictions. Your research will involve constructing probabilistic and statistical models—such as Bayesian inference, stochastic simulation