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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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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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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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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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. Information about the project and division Integrated photonics is a vibrant research field dealing with the generation, processing, and detection of light at the chip scale. Inverse design, the computer-aided