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, Mechanical Engineering, Nanotechnology, or related fields, Experience in at least one: PV modules, optical/electrical characterization, modelling/simulation, thin-film/material processing Specific Requirements
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), physics-informed generative modeling and representation learning, domain adaptation, ML-assisted lattice field theory, and quantum algorithms and Hamiltonian simulation for high-energy physics, etc
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overheating models and inform retrofit strategies across different urban morphologies and building typologies for building decarbonisation. The role holder's key responsibilities include: Contribute to the work
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efficiency, developing knowledge, methods, and transferable software for the simulation and comprehensive sustainability assessment of socio-economic systems. Its purpose is to foster sustainable eco
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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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) or closely related field. Process simulation : Aspen HYSYS/Plus. Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. Life Cycle Assessment (LCA): experience with, e.g
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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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, developing knowledge, methods, and transferable software for the simulation and comprehensive sustainability assessment of socio-economic systems. Its purpose is to foster sustainable eco-innovation, through
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topic: Capture and model changes in material appearance during exploratory movements. Aim to establish links between material tactile parameters, dynamic changes in the visual information and
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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 at grid supply