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experience in in mathematical modelling and forward genetic simulations using SLIM - information provided in the CV and/or in the motivation letter; Experience in experimental evolution and/or genomic and/or
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the dynamic rate of mass transfer across the interface. This project primarily consists of theoretical modeling and numerical simulations. However, a strong coupling will be maintained with
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of industrial high-temperature processes with potential for negative carbon emissions. PhD student in the field of numerical simulation of plasma-based methane decomposition Your tasks Setup of Computational
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; Modeling (using Gromacs and LAMMPS software packages and MARTINI-like upscaling) the filler-matrix interfaces to optimize thermal transport, e.g., by functionalization of the nanofiller surface; Simulate and
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strong energy systems knowledge, electricity, heat, and gas netwrok modelling & simulation, and research software development skills that want to develop cutting-edge knowledge and software for the energy
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/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS
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Language Models for Data-to-Text Problems” and involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, such as statistical report
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About the role Applications are invited for a Research Associate position within the Control and Power Research Group, working on a new research initiative focused on load modelling in power systems
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of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new scientific results. You will also take courses at the doctoral level
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— an interdisciplinary field spanning information theory, stochastic thermodynamics, and quantum physics — and will explore several research directions: Thermodynamic computing: Developing physics-inspired models