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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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receptors (GPCRs) using molecular dynamics simulations. The project will involve the application of standard and enhanced sampling techniques (including coarse-grained simulations) to: Characterize GPCR
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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underlying these processes remain poorly represented. This PhD project aims to fill that gap by using molecular simulations to quantify the interactions of SOM and EPS with water and minerals, and to connect
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talented and motivated applicants for PhD positions. As a member of our team, you will have the opportunity to collaborate on cutting-edge technologies like quantum simulators, Bose-Einstein Condensates, and
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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), uncertainty quantification, and atomistic simulations within the FNR-funded UMLFF project. MLFFs have transformed atomistic simulations, offering quantum-chemical accuracy for large systems. However, they
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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that are submitted into this UAB system will be considered: https://seleccio.uab.cat/ Please submit the following information to the indicated webpage: 1. Motivation letter (1 page). 2. CV (your preferred format and