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Field
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circuit behaviour, and active device characteristics. Prior exposure to power amplifier design, load-pull techniques, or nonlinear/behavioural modelling is considered an asset. Experience with RF/microwave
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-temporal detail. The work will involve experimental implementation, optical setup development, numerical data analysis, and modeling. Requirements: Applicants must hold a Master’s or Diploma degree in
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modelling results into long-term biodiversity impact indicators and characterization factors for offshore wind farms over their operational lifetime. Developing integrated cumulative impact and scenario
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on: World economy Macroeconomics Economic modelling and analyses Macro-financial analysis Our in-house research capacity and international network activities allow our researchers to participate in
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performing experiments and numerical modeling of plasmas to quantify, for instance, the radiative properties of the plasma, how many fast-moving ions are produced, as well as the efficiency of converting input
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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-intelligence-controlled atom-by-atom synthesis of functional nanomaterials Theoretical and numerical modelling of the electronic structure of functional low-dimensional nanomaterials (with Prof Nikhil Medhekar
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. Project Overview The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower
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element simulations, blast loading models, propagation of pressure waves in the ground and soil–structure interaction analyses to establish methods for assessing the protective capacity of existing
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. Special emphasis is given to numerical simulation to reduce the required experimental effort, but the validation of the models on laboratory setup will remain an essential asset. Your role The PhD-student