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, standardize, and integrate ex vivo drug response datasets, linking them with molecular profiles for predictive biomarker discovery. Together, these infrastructures will form the foundation for patient
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) to the data distributions at hand and evaluation of their predictive performance Comparision to alternative approaches applicable in the small-sample-size regime such as few-shot learning, meta-learning
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 2 months ago
-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and institute host an international team of researchers from more than 15 countries
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practically relevant and breakthrough results. This team goal requires a quantitative model describing and predicting sperm motility under various conditions. You will develop the digital twin of sperm motility
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of socioeconomics, marine ecology, physical oceanography and biogeochemistry with Earth system modeling. The overarching goal is to better understand and predict the impacts of global change on tropical coasts and to
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, prediction of cell states, or patient stratification Contribute to the further development of model architectures (e.g., transformers, multimodal fusion, generative models) Present results at conferences and
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(songbird) variables, and human restoration variables. We aim to produce maps of model predictions based on biodiversity indices, restoration variables in relation to urban green and built infrastructure. Job
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Transferability, as well as Deep Learning for Complex Structures. These novel methods will be applied to practical tasks such as predicting European water storage, quantifying permafrost thawing, sea level budget