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(pre-screened) by multiple people independently. Personal interviews follow in the next step. Language requirements Proficient English skills Submit application to E-mail: application@mcml.ai
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
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their language(s), how speaking and listening happen in real time, how the brain processes language, how the human genome contributes to building a language-ready brain, how multiple modalities (as in speech
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achieved consensus. The PRELIFE consortium brings together leading researchers from a wide spectrum of disciplines—including astronomy, biology, chemistry, computer science, earth and planetary sciences
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measurements to the results of existing techniques using backscatter to quantify forest attributes through synthetic aperture radar imaging. The overall project, spanning multiple institutions, aims to produce a
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that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under
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Multiple self-funded PhD positions are available in Modelling and Simulation (M&S). The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools
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microglia is a hallmark of neurodegenerative diseases such as multiple sclerosis (MS) and Alzheimer’s Disease (AD). These lipid-loaded microglia are associated with disease pathology and enhance
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., regularized regression, random forests, support vector machines) Experience with accessing and analyzing data from public use data sets and web-based survey systems Ability to manage multiple projects with
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family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant