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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 17 days ago
research project investigating the role of RNA–protein interactions in cellular stress responses Establish and develop next-generation sequencing and mass spectrometry-based proteomic approaches and analyse
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 10 days ago
epigenetic approaches to characterize aging-associated changes in the hypothalamus Analyze and integrate high-dimensional sequencing datasets, including RNA-seq, single-cell/single-nucleus sequencing, ATAC-seq
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and international research environment Experience with high-throughput genomics, single-cell RNA sequencing, transcriptomics, or epigenetics Knowledge of rodent models, behavioral phenotyping, or animal
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Antarctic Research, combines geochemical analyses, 16S rRNA gene sequencing, qPCR, and RNA-based stable isotope probing (RNA-SIP) using 13C-labelled organic material. We aim to identify these key fermentative
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 2 months ago
. The project integrates state-of-the-art molecular biology, functional genomics and cancer models with computational analysis of large-scale sequencing datasets. The primary focus of the PhD project is
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of generative AI approaches to automatically generate sequences of skills for assembly tasks Investigation of state-of-the-art foundation models for modeling and generalizing assembly operations Design and
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
zebrafish embryogenesis. This research combines the power of the zebrafish embryo with RNA biochemistry, massively parallel reporter assays, next-generation sequencing, computational and imaging approaches
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. A key additional aspect is the use of functional structure within the proteome-such as protein-protein interaction patterns, structural similarity, and data-driven embeddings derived from sequence
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on downstream regression tasks. A key challenge lies in effectively modeling the temporal nature of EO data. Since downstream applications require varying temporal resolutions and sequence lengths, from daily
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one or more of the following areas would be particularly valuable: learning analytics, natural language processing or computational text analysis, social network analysis, longitudinal or sequence