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, sample and data analysis and write-up of results for scientific publication are part of the PhD process – a journey to become an independent researcher! Throughout the project, there will be multiple
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– a journey to become an independent researcher! Throughout the project, there will be multiple opportunities for cooperation with internal and external partners, supervision of Master students, giving
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. g. single cell sequencing and proteomic). Theoretical and practical knowledge in molecular and cell biology and/or protein chemistry are expected for successful candidates. The candidate should have
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of translation is crucial for controlling protein levels and guiding development. In the Ruijtenberg lab, we study these mechanisms using a combination of genome-wide sequencing and single-molecule imaging
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work closely with local managers and with the Czech Nature Conservation Agency. New whole-genome sequencing data will be mapped to chromosome-level reference genomes provided by our partners at Project
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sequencing data will be mapped to chromosome-level reference genomes provided by our partners at Project Psyche (https://www.projectpsyche.org/ ). Access to continental-scale field samples and standardized
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mindset. You have good statistical skills and experience with analyzing metabolomic and metagenomic sequencing data. You like to work in diverse settings as you have to communicate closely with a diverse
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conversation within the transport and logistics industry, and integrating new focus areas aligned with emerging health and safety challenges. The expanded work will be formally branded as the NTARC Driving
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sequencing data. You like to work in diverse settings as you have to communicate closely with a diverse team (i.e. microbiologists, data analyst, cell biologists, immunologist, engineers). You are a team
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 18 days ago
architecture of important crop traits like grain yield heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck