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project TARGET-AI will bring together expertise from multiple research groups to advance the state-of-the-art in combining the most advanced techniques from deep learning/AI with rigorous statistical
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assays, flow cytometry, fluorescence imaging, RNA sequencing and biochemical techniques e.g. western blot, quantification assays). Combining diet treatments, pharmacological inhibition and genetic
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generated a comprehensive resource of pancreatic primary tumors and primary cell cultures. Multiple NGS methods and biological readouts have been conducted to decipher the molecular makeup and phenotypes
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organoid transplantations, CRISPR/Cas9, quantitative proteomics/phosphoproteomics, multiple transcriptomics and genomics approaches, single cell sequencing and imaging, histocytometry) Use advanced
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and next generation sequencing data. Graphical output of data analysis for publication demonstrated experience in statistical analysis and designing computational methods and tools, including prior
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Studying lipid alterations of tumorous material by mass spectrometry imaging Quantification of corresponding lipids using liquid chromatography mass spectrometry Data analysis of sequencing and microscopy
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the progression of aging processes. For both projects, the PhD student will utilise the expertise of the Sugimoto Lab, including high-throughput DNA sequencing, mass spectrometry-based proteomics, single-cell and
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. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your
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to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the interface of the gut microbiome, diet, and immune system to investigate their roles in
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university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code