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highly motivated PhD student to join a DFG-funded international project that investigates plant - microbiome interactions through large-scale metabolomics and other - omics platforms. Your tasks: Process
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Black Widow spider, Latrodectus tredecimguttatus . The work will primarily involve conducting behavioral experiments and applying LC/MS and GC/MS based metabolomics approaches to comprehensive explore
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phytopathobiomes. The project will use a combination of metabolomics, microbiome profiling, microbial culturing, and bioassays, supported by greenhouse and field experiments. Your profile: Master's degree in plant
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after damage. The applied techniques will include e.g. mouse and human kidney organoids, single cell analyses, proteomics, metabolomics, live cell imaging, and animal models. Tasks: to actively pursue
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for immunological platforms such as flow cytometry, single-cell transcriptomics, spatial transcriptomics, metabolomics and proteomics, imaging, and in vivo work. Numerous interactions with other groups working in
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new standards in computational metabolomics – facilitating biomarker discovery, advancing personalized health monitoring, and improving clinical decision-making. The work will be carried out under close
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advanced computational tools and single-cell multi-omics data (CITE-seq, proteomics, transcriptomics, methylation, metabolomics), we aim to: 1) Identify surface molecules specific to dormant leukemic stem
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at diagnosis and relapse, and compare them to healthy hematopoietic specimens using nanopore-based direct tRNA sequencing. Complementary transcriptomic, proteomic, and metabolomic profiling will be performed
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biology, proteomics, metabolomics, and more Our benefits: Excellent working conditions in an international environment Flexible and family-friendly working hours and possibility of home-office Offer
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, metabolomics, biostatistics, etc.) and soft skills courses (scientific writing, scientific presentation, intellectual property rights, project management, good scientific practice, career coaching, etc.) can be