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Field
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Performing atom probe tomography Application of deep learning algorithms for the correlation of the obtained experimental data and their analysis The majority of the work will be undertaken in Hamburg Your
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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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, as well as deploying and retrieving equipment. Once the large, multichannel seismic data sets have been collected, you will take care of the complex data processing and interpretation together
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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public debates and information/service – we contribute to maintaining and increasing sustainable economic prosperity and social participation under constantly changing conditions. Do you want to know more
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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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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