35 development-"https:"-"https:" Postdoctoral research jobs at Nature Careers in Germany
Sort by
Refine Your Search
-
. "Pervasive lesion segregation shapes cancer genome evolution." Nature 583.7815 (2020): 265-270 Anderson, Craig J., et al. "Strand-resolved mutagenicity of DNA damage and repair." Nature 630.8017 (2024): 744
-
Postdoc position (d/f/m) developing gene editing therapies for ANO5-related muscular dystrophy Work time full-time Start date 01.04.2026 Employment period limited Application deadline 25.03.2026
-
cellular neighbourhoods to functional states”. The Coscia lab is undertaking basic and translational research projects to develop and apply innovative spatial proteomics methods for disease phenotyping. We
-
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
-
Job Advertisement Job-ID 03/2026 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), we investigate the pathobiology of microorganisms and develop new natural
-
application. Our aim is to develop innovative methods for the cost-effective production of personalised gene therapies using non-viral gene transfer. The research project is geared towards a future spin-off and
-
, to develop and interrogate biological design principles across eukaryotic systems. A central goal is to use yeast as a genetically tractable model system, followed by work in mammalian models, to establish
-
(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
-
or early bystander adaptations to a disturbed lung microenvironment? Disease Modeling and Biomarkers: Can we develop relevant complex in vitro models to study lymphatic dysfunction, and generate biomarkers
-
throughput. The ERC DECODE project develops and applies leading-edge system genetics methods to decode context-dependent genetic networks in vivo. To achieve this, the ERC Synergy Project brings together