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. Please send your application with informative documents (detailed curriculum vitae highlighting relevant research experience, cover letter outlining your motivation and how your expertise aligns with
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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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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of sequencing and microscopy data Data analysis of mass spectrometry data Your profile PhD in Biology, Analytical Chemistry, Biochemistry or related subjects Good understanding of tools such cell cultures
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History Collections due to the difficulty of conducting fieldwork in this remote region. In this PhD project, we will expand on this dataset, use long-read sequencing to assemble new genomes and employ a
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integrate large-scale sequence and RNA-seq data from internal and public resources. You build a reference library of predictive regulatory motifs. You use network analysis and random-forest approaches
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-equipped Lab with an international team and the focus on immunobiology Access to multiple state-of-the-art facilities. Our work is embedded in the Beutenberg Campus , an interdisciplinary base for innovative
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-time 65%) in the DFG-funded Integrated Research Training Group (RTG) Beyond Amphiphilicity – RTG 2670: Self-Organization of Soft Matter via Multiple Noncovalent Interactions . The position is funded from
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research ambitions, including in-house sequencing capacities and state-of-the-art cell culture equipment. Additionally, a broad national and international existing collaborative network offers chances
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viability using multiple detection techniques (FACS, microscope, spectrophotometer). Collaboration on the analysis of created bacteria in Zebrafish models. Analyse data, contribute to scientific publications