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output of extended wind-farms. Wind Energy, 19(2) :359–370, 2015. W. Z. Shen, W. J. Zhu, E. Barlas, and Y. Li. Advanced flow and noise simulation method for windfarm assessment in complex terrain
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human genetics and the biological interpretation of complex traits. You should have experience with genetic data analysis, statistical genetics, and be motivated to understand how AI-based models can be
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ecology, and biodiversity research Motivation to work with complex ecological datasets and quantitative analyses Basic experience with statistical data analysis (e.g. in R) Interest in developing skills in
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Proficiency in at least one programming language (Python, C++, …) Keen interest in neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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Master's thesis -An interest in turbine aerodynamics, secondary flows, and real-engine flow physics -Programming and data-analysis skills (Python preferred) -Curiosity and motivation to work on complex
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rules in networks of complex spiking neuron models in the application field of geolocalization: Building up simulation model for networks of complex neurons with topologies close to neuroscience models
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comfort across complex urban environments. However, despite their widespread application, current approaches are mainly calibrated for near-stationary exposures, limiting their suitability for evaluating
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such as the phenome, genome and exposome, including continuously measured health data such as heartbeat or activity measurements of wearables, will increase. The processing and analysis of such complex data
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research into predictive failure analysis methodologies for HVDC interconnection systems. This will include assessments of primary components such as switchgear and power transformers, as well as essential