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growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
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lenses of control theory and information theory. This position will focus on developing and applying theory, models, and methods that provide principled understanding of simultaneous multi-region, high
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concurrently heated with an additional external stimulus. Photoacoustic sensing (introductory video: https://youtu.be/2f3V0DQNLYg ) is based on a transformation of absorbed optical energy into ultrasound waves
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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, which specializes in modelling, control, and optimization of mechatronic systems and processes (https://dynamics.ugent.be ). We are looking for a motivated and talented PhD student to delve into the field
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animal models (mouse or, alternatively, zebrafish), preferably as infection models. Experience in working with bacterial cultures (S. aureus). Very good command of English. LanguagesENGLISHLevelExcellent
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in RNA-based work, reporter assays, and cell culture. Experience with animal models is highly desirable as well as understanding of bioinformatics and RNA structure concepts, enabling effective
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) mandates, and the understanding and implementation of various laws, including those governing data security, research security, and Export Controls. Required Experience: 7+ years Experience working in
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(CALS), and our management and staff are committed to upholding the highest standards of ethics and excellence across all aspects of our work. This position will be based in the K. Lisa Yang Center
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in the nation, by being up to date on the latest methods and research, engaging our campus-based partners, and ensuring that the needs of our prospective and enrolled students are best served by both