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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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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
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis
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. "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
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
the outstanding research infrastructure at St. Jude to train top-tier postdoctoral fellows with the necessary skills to lead independent research programs in the discovery of infectious diseases therapeutics
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
research infrastructure at St. Jude to train top-tier postdoctoral fellows with the necessary skills to lead independent research programs in the discovery of infectious diseases therapeutics including small
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to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health. In this context, the Funke lab develops machine learning methods to accelerate
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research focused on pre-clinical development of novel anti-cancer drugs, which covers medicinal chemistry, structural biology, biochemical and biophysical assays, biological and animal studies. We have a
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-driven machine learning approaches, they will improve our understanding of nutrient flows in agricultural landscapes. The postdoc will contribute to the development of databases representing the current