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resilience Postdoctoral level: Provide scientific guidance within work package 2 and potentially co-supervise a PhD student PhD level: Develop a focused doctoral project embedded within work package 2
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dissertation within an excellent, collaborative, and transdisciplinary research environment for PhDs a lively community of PhD students on the campus, offering the chance to engage and connect—our PhD
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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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internationally visible research environment with access to cutting-edge technologies in immunology, (spatial) multi-omics, advanced imaging and computational biology. Our requirements Applicants should hold a PhD
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postdoctoral fellows to conduct interdisciplinary research on the interactions between fungal pathogens and microbial ecosystems within the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
The Jena School for Microbial Communication (JSMC) is an ambitious Graduate School with over 130 doctoral and postdoctoral scientists. We offer structured, interdisciplinary PhD and career training
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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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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Helmholtz Association. Its qualification schemes for young researchers are geared mainly towards PhD students, postdocs and young managers. The Helmholtz Association has set high standards for its talent
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azoospermia working with large-scale genomic datasets Functional characterisation of genetic variants in Drosophila utilising CRSIPR/Cas9 Supervising and training of students (PhD, MD, Master