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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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contribute to the development of predictive human in vitro models for ageing research while providing robust alternatives to animal experimentation. Where to apply Website https://emploi.cnrs.fr/Offres
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focus on the molecular design, formulation, fabrication, and optical optimization of one-way transparent films. You will work with reactive liquid crystal mesogens, chiral dopants, photo-alignment methods
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Caro's group, whose core expertise is the development of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science
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to develop and validate models for evolutionary and ecological hologenomics at the Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen. Our group and research The Center
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of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science. Together, you will help advance a key scientific
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IFN γ cooperate to establish immunological tolerance in the thymus, and how failure of these mechanisms can lead to autoimmune diseases. AIRE mutations cause severe autoimmunity, and both mouse models
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application. It is part of activities in ARCNL’s Source Department. The research activities of the Source Department aim at an atomic- and molecular-level understanding of the fundamental dynamics in
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Join ABC Labs and KTH as an Industrial PhD Student to build data-driven models of human biology with multimodal health data — interdisciplinary impact, real-world healthcare. About the role We
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to molecular hydration. The student will develop experimental methodologies and combine these with state-of-the-art characterization techniques, including Magnetic Resonance Imaging (MRI), Nuclear Magnetic