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. The anticipation of more extended systems, although they probably will not resemble the solar system either, is challenging our standard models of planet formation. Our goal is to predict and reproduce
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affiliated partners, focused on integrating multimodal brain imaging, genomics, and clinical data to advance understanding and prediction of dementia and related psychiatric disorders. The postdoctoral
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, this theory predicts that mitochondria across a diverse range of other species might face the same pressures. This project will explore this hypothesis, combining live-cell imaging of mitochondria in plants
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either, is challenging our standard models of planet formation. Our goal is to predict and reproduce the architecture of these exoplanetary systems and the exoplanet properties, including composition
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chemistry, brine composition, and the distribution of ions and impurities in the interfacial region. Because these interactions arise from specific ion–surface interactions, predictive insight requires
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to identify early phenotypic markers of efficacy and resistance and to discover predictive biomarkers for off-label therapies. To our knowledge, this will be the first large-scale application of Cell Painting
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methods to predict these needs individually at the time of stroke diagnosis. This PhD project aims to develop predictive models based on artificial intelligence (AI) that estimate a patient’s brain health
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predicting the spatiotemporal evolution of the multiscale flow system Report the updates of research progresses Follow and implement the research tasks defined in the ‘OceanCoupling ’ project. Qualifications
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leader will be Professor Jonathan Robert Whitlock (read more about the group at: https://www.whitlocklab.org/). About the project The successful candidate will perform large-scale neural recordings in
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converter stresses. During the last decades power electronic converters (PECs) have been introduced to control and transform electric power - and permeate society for numerous applications: zero-emission