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Field
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: Performing computational analyses of high-throughput sequencing datasets, including: single-cell RNA-seq and ATAC-seq spatial transcriptomics / spatial multi-omics bulk RNA-seq and ATAC-seq CUT&RUN Developing
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University Medical Center Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 3 months ago
questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq, RNA seq, single cell sequencing, spatial transcriptomics
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expertise. Kiel hosts multiple Excellence Clusters (including Precision Medicine in Chronic Inflammation) and Collaborative Research Centers (SFBs), offering a highly interactive ecosystem connecting basic
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project on transparent, agent-based AI methods to support multidisciplinary tumor boards in oncology. You will develop methods to transform heterogeneous oncology documentation into structured, time-aligned
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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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-factor binding from regulatory sequences Apply these models to interpret genetic variation, integrate predictions with complementary genetic analyses, and deliver prioritized candidate genes
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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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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