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in live or fixed organisms, cells or tissues - Experience with data analysis in Python, R or similar - Experience working with animal models AND - Experience with mass spectrometry, including sample
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CRISPR/Cas9, cloning, protein biochemistry, as well as work with cell cultures and primary patient samples (S1/S2) Conducting and establishing experiments with in vivo mouse models Analysis and
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spectrometry (LA-ICP-MS) for biomedical samples within the framework of the Collaborative Research Centre SFB 1340 “Matrix in Vision“ Planning and realisation of measurements with LA-ICP-MS in cooperation with
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explores novel myeloid cell-based immunotherapy against intraperitoneal metastasis of ovarian cancer using mouse models and patient samples as well as state-of-the-art technologies such as spatial multi
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, patient-derived samples, in vitro co-culture systems, molecular biology, cellular immunology, and advanced flow cytometry approaches. The Varga lab is a very collaborative and interactive environment
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systems and techniques including novel mouse models of metastasis, patient-derived samples, in vitro co-culture systems, molecular biology, multi-omics, and advanced microscopy approaches. The Labelle lab
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large language models (LLMs) and specific knowledge graph (KGs): (1) We will survey and study the impact of using different LLMs on the quality of the results and the potential cost/benefit trade-off in
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proteomics workflows Perform imaging and omics data analysis and data integration and validate key results using functional assays in cell culture and in patient-derived samples Plan and collaborate
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mutant and transgenic reporter lines in zebrafish and mouse Participate in all the metabolomic and singe cell transcriptomic aspects of the study, from sample preparation to data analysis Perform
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the application deadline. Please include a cover letter, resume, (employment) references, certificates, and (if available) work samples or reference projects with your application materials. Please refrain from