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Field
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
DNA thermodynamic database, coarse-grained simulations of DNA motifs, and existing experimental data to establish an AI model that is able to guide the construction of desired secondary structures
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simulation for submerged mooring lines”, in the scientific area of mechanical engineering, financed by IDMEC Project 1803P.00113.1.01, under the following conditions: Scientific Area: Mechanical Engineering
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the developed models in commercial forming simulation software and validate their accuracy against forming experiments. We are looking for a colleague who is comfortable with experimental work, has experience in
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, stability, safety, and usability under clinically relevant constraints. Perform ex vivo evaluations using soft-tissue models to simulate gastrointestinal navigation and refine the system’s interface and
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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of Groningen, Nijmegen, Eindhoven and Tilburg). The PhD project in this vacancy contributes to the development of the above EmPowerED toolbox by developing simulation models for individual physical components
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applications. Your main tasks: Develop and integrate degradation models for multiscale and multiphysics simulations of solid oxide cells Validate models using experimental data (e.g. IV curves, EIS measurements
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large erosion pit during a breach, iii) a flood wave much more powerful than water in terms of transport capacity and destruction of buildings. Analysis of the state of practices does not show a model
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synthesis over all relevant length scales (e.g. cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) • High resolution analysis, monitoring of chemistry