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Field
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research, digital health solutions, and the development of AI-based predictive models using large-scale clinical datasets. This position is particularly suited to a clinician-scientist with a strong
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Albert-Ludwigs Universität Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 1 month ago
countries to advance the understanding and prediction of manufacturing defects in carbon-fibre-reinforced polymers. Modern aircraft already use carbon-fibre-reinforced polymers for around half of
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contribute to our ongoing projects, specifically on development of nanoparticles with predictable interactions with biomolecules and understanding nanoparticles behaviour in biologically relevant environments
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modern AI/ML methods to protein and cellular biology, including protein structure prediction, protein–protein and small-molecule–protein docking, cell state prediction from large-scale Perturb-seq datasets
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integration. The goal of the subproject is to develop a predictive process model for the lithium refining process and support the experimental development of the continuous crystallization process. The
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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advanced statistical and computational analyses, including trial-level models, mixed-effects models, clustering or latent-profile analyses, dimensionality reduction, predictive modeling, cross-validation and
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international studies. In doing so, we are investigating not only the effectiveness of cochlear implantation for tinnitus but also which factors may predict success. In addition to the clinical research question
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of RNA molecules in gene regulation and human disease. The central goal is to build a predictive framework capable of reconstructing and interpreting RNA-mediated interactions at genome scale by
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methods and predictive control strategies for solid-state batteries using data from parallel postdoctoral projects within the initiative. The research aims to improve the understanding of how operating