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enable the model to infer health-related information directly from NMR spectra of human blood. To this end, the model will be pre-trained using self-supervised learning on large-scale, partly synthetic
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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maintain pipelines for the analysis of high-throughput sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, and single-cell and spatial omics. Integrate machine learning and large language models (LLMs
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artificial intelligence, machine learning, big data, multimedia content analytics, information integration and enterprise modeling and analysis. The Enterprise Information Systems (EIS) department works on new
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, Integrative Plant Taxonomy, Ecology and Evolution of Bryophytes and Digital Collectomics work together to analyse Anthropocene Biodiversity Change using collection based modern and innovative methods in large
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(BIGS Mathematics) Teaching language English Languages Courses are held in English only. The thesis can be written either in German or English. Full-time / part-time full-time Programme duration 6
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Your Job: Fine root structures are inexpensive for plants in terms of metabolism and biomass (allocated carbon and nutrients), but at the same time they contribute a large proportion of nutrient
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from infancy to adulthood - Deep neural network-based encoding models of the human visual system using large neuroimaging datasets (fMRI/ EEG, precision neuroscience) - Advanced analyses of the structure
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 3 months ago
of high-throughput sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, and single-cell and spatial omics. Integrate machine learning and large language models (LLMs) into bioinformatics workflows
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direct access to systems medicine approaches rang-ing from single cell techniques to large human cohort studies and including multi-model omics technologies, as well as to state-of-the-art high-dimensional