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and structural biology, translating de novo designs into experimentally tested candidates in close collaboration with expert wet-lab researchers. The position offers a strong platform for building an
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regulation in mammalian cells. Applied methods range from cell biological over biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible
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Max Planck Institute for Psycholinguistics | Nijmegen, Provincie Gelderland | Netherlands | about 1 month ago
. Requirements The successful applicant will hold, or expect to obtain shortly, a PhD in Statistical Genomics, Genetic Epidemiology, Medical Statistics, Bioinformatics, or a related quantitative
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clinical translation. The successful candidate will lead innovative projects integrating peptide chemistry, structural immunology, cancer biology, and translational immunotherapy. This position offers the
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clinical translation. The successful candidate will lead innovative projects integrating peptide chemistry, structural immunology, cancer biology, and translational immunotherapy. This position offers the
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the newly founded Else Kröner Fresenius Center for Optogenetic Therapies (EKFZ: https://ekfz.uni-goettingen.de ). Your tasks In-depth structural and functional characterization of optimized
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design Experience of establishing computational infrastructures for the above Essential experience and skills A PhD in bioinformatics, data science or a related domain, e.g. computational/structural
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; structural biology, programming and high-performance computing, bioinformatics or evolutionary theory. Required skills are; commitment to ethical conduct of research, self-motivation and
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are required; structural biology, programming and high-performance computing, bioinformatics or evolutionary theory. Required skills are; commitment to ethical conduct of research, self-motivation and
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combines large-scale population genomics, graph-based pangenomics, structural variant discovery, genome-wide association studies, and evolutionary genomics using state-of-the-art long-read sequencing