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-throughput and AI-driven antifungal discovery fungal symbiosis an& pathogenicity fungal metabolites, epigenetics & microbiome structuring computational microbiomics & systems biology of fungal infections
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
or PhD (or equivalent) in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome
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Area of research: Scientific / postdoctoral posts Job description: Postdoc (f/m/x) in Biological Physics / Computational Biology 102913 Full time 39 hrs/week Munich At Helmholtz Munich, we develop
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conducting collaborative research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology
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outputs, including: A return-of-data blueprint Prototype participant reports An evaluated framework for future implementation Your Profile Master's degree and PhD in computational biology, bioinformatics
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conducting collaborative research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology
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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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– in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and
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. Additional requirements: PhD with a strong background in Molecular and Cell Biology. Hands-on in vitro and ex vivo experience in human disease modeling using primary cells, tissue slices or iPSCs. FACS
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but also in a team you hold a PhD in life sciences (e.g. molecular biology, biochemistry, genomics, computational biology or related areas) you have experience in NGS-based assays and NGS data analysis