175 evolution "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in Germany
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational physics
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on the evolution of gene regulatory networks and Wnt pathway functions in emerging model organisms (e. g. insects, annelids, snails, flatworms, cnidarians), utilizing ‘omics technologies and bioinformatics. Students
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(RCB), the research focus “Ribonucleases” (https://go.ur.de/rna-biologie ) and the Regensburg Center of Ultrafast Nanoscopy (RUN) also provides a wide range of opportunities for collaboration. Active
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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well as multifold training and support for PhD students in framework of ISAS and the Leibniz association Training and scientific development opportunities in an international environment and an excellent working
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with the IfSG before starting employment (currently: measles). General information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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, proteomics, computing) close mentoring and support for career development (conference travel, networking, writing) fixed-term position (full-time), initially for 2 years, with anticipated extension depending
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the development of scalable software tools and pipelines, potentially leveraging GPU/FPGA accelerators. Our aim is to build next-generation molecular atlases for chronic diseases and to improve patient