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Field
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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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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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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
ecosystems. Your Profile A PhD in marine biology, conservation biology, fishery management & conservation, or related fields A strong background in handling large data sets, programming (preferably in R
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journals and edited volumes, and present your work at international conferences. Collaborate with our digital humanities team to engage actively in the development and data curation for the "OMnibus of
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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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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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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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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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geothermal energy systems. We develop and use AI-based applications with a focus on the development of analytical methods for the analysis of large data sets, feature extraction, automatic pattern recognition
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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