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multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map the genomic landscape of male infertility, particularly focusing on non-obstructive
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you on board! RESPONSIBILITIES: Supervision of a research project on “Nanocarrier-based functional analysis of myeloid cells in inflammatory and autoimmune skin diseases” within the Collaborative
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, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate the molecular mechanisms that enable sperm to sense their chemical and physical environment, with a
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PhD in Vascular Biology, Neuroscience, Molecular Biology, Computational Biology, or a related field Expertise in single-cell and spatial omics analysis (scRNA-seq, ATAC-seq, CUT&RUN, MERFISH, Visium
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combining LLMs, molecular measurements, and multi-scale imaging. Your profile PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
for the sustainable management of selected marine ecosystems. Your Profile A PhD in marine biology, conservation biology, fishery management & conservation, or related fields A strong background in handling large data
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analysis, cloning, lentiviral transductions, and genome editing Prepare and present project reports and contribute to publications Your profile MD or PhD in biology, biochemistry, molecular biology, or
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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, reproducible data handling and analysis workflows in R and/or Python; author reusable packages and pipelines Collaborate across DKFZ programs; co-supervise students; contribute to grant applications Publish in
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, data analysis and interpretation of the results Organization of logistical aspects of the service schedule Your profile: PhD in life sciences, preferably cell biology, plant cell biology, microbiology