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mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
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structure and function of cellular RNA polymerase transcription complexes using cryo-electron microscopy, biophysics, and biochemical methods. Applicants must hold a PhD in biochemistry, biophysics
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understanding ADP-ribosylation signalling and developing analytical approaches for studying complex PTM systems at proteome scale. We are currently expanding our activities at Aarhus University and are
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statistics, causal inference, synthetic data, reproducibility, intersection of AI and data privacy, and work with survey, census, health/genomic and other complex data. The scholar will have an opportunity
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Profile of the dept. or college: Civil, Environmental and Construction Engineering The Opportunity: The Department of Civil, Environmental and Construction Engineering at the University of Central
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, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow) Experience developing and deploying machine learning or deep learning models Ability to present complex results to multidisciplinary teams, including
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Research and the design of data-driven, hybrid care? Do you love working at the intersection of healthcare, technology, and complex multi-stakeholder ecosystems? Are you inspired by designing in the medical
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. The successful candidate will engage in innovative research addressing statistical methodology, machine learning, and/or learning techniques in complex biomedical and health-related challenges. We particularly
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If you enjoy turning complex dynamic systems into clear models and want your research to actually change how trucks can be developed into more sustainable actors in the transport system
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering