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presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
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-reported dietary data with objective biomarkers to improve exposure assessment and help explain why some individuals develop disease while others remain healthy despite high sugar consumption. You will join
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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Climate change and human disturbances are placing increasing pressure on Europe's forests, demanding advanced methods for early detection and monitoring. We are seeking a research assistant to
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optimize industrial processes. -Collaborate with academic and industrial partners to support technical innovation, ensure alignment with project objectives, and contribute to dissemination and knowledge
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converter-based energy resources across diverse grid scenarios. The ultimate goal is to enhance grid reliability, stability, and resilience under evolving energy system conditions. Key objectives include
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goal is to enhance grid reliability, stability, and resilience under evolving energy system conditions. Key objectives include: Identifying and quantifying the essential grid services required
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numerical models and signal processing methods to detect and understand seismic events directly from communication signals in optical fibers — paving the way for a new class of communication-based seismic
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initiative and capacity building program objectives. The successful candidate will carry out collaborative and interdisciplinary research that involves desk-based and empirical mixed methods as
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. The application deadline is September 17, 2025. Project description This project involves the use of optical metrology techniques to detect early signs of decay in fruits. Traditional methods for assessing food