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Bayesian framework and two specific proposed lines of research: (1) constructing suitable priors via neural networks approximations, and (2) enhancing the sensitivity and efficiency of posterior diagnostics
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expertise in bioinformatics. The aim is to identify gene signatures predictive of therapy response and to discover novel therapeutic targets for reprogramming tumor-associated macrophages (TAMs)—immune cells
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multiomics and designed a targeted intervention to elicit such potential (Llorens-Bobadilla et al. Science 2020). In parallel, we also develop novel technologies for spatially-resolved multiomics (Llorens
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theories from tractable models (probabilistic circuits) and Bayesian statistics to tackle the reliability of machine learning models, touching topics such as uncertainty quantification in large-scale models
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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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) of 2024 has set ambitious targets for nature restoration across the continent. The NRL holds great potential to improve and conserve biodiversity, promote climate action, safeguard critical ecosystem
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. The overall aim of the research program is to identify exposures occurring during such windows, determine their importance for breast cancer risk, and if they can be targeted for risk reduction. Work
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related diseases. As the microbiome is a crucial factor for disease development and modulation, we are also developing Chemical Biology methodologies for the targeted investigation of microbiome metabolism
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exceptional sensitivity and precision, as they can track individual target molecules one at a time. Nanopore technology is one of the most important SMDTs to access the conformation and dynamics of biomolecules
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), PET (e.g., targeting synaptic plasticity), Behavioral and cognitive assessments, and Longitudinal and large-scale datasets to identify signatures of maintained brain function in ageing. You will