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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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porous solids for the capture and/or degradation of toxic agents (or simulants) and sensors. Main activities Identification of MOFS composition Using existing databases that have already identified
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performing numerical simulations using in-house scientific softwares. In-depth knowledge of materials science or crystallography is not required. Website for additional job details https://emploi.cnrs.fr
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Simulation Framework for evaluating the impact of Autonomous Mobility on Motorways throughput and safety (VAMONA)”. Applicants must meet the general requirements prescribed by the Croatian Act on Higher
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cooperation agreement between both institutions. Position Focus: The postdoc will develop and run realistic simulations of the SWGO (Southern Wide-field Gamma-ray Observatory) detector array and help build
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Postdoctoral Research Associate will be responsible for AI-driven materials discovery. The position will collaborate with interdisciplinary teams to develop integrated molecular simulation and machine learning
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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
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theoretical and computational soft-matter physics and biophysics. The successful candidate will work primarily with Dr. Matej Kanduč on research topics related to molecular dynamics (MD) simulations
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for seasonal prediction using hybrid physics-machine learning models in R&D item Research on Seasonal Meteorological and Oceanographic Forecast Simulator under Development of Integrated Simulation Platform
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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and