422 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Humboldt Universität zu Berlin •" research jobs at Nature Careers
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We are looking for a highly motivated postdoctoral researcher to join our lab of neuroepigenetics at EPFL (http://graefflab.epfl.ch/) ! The focus of the lab are the epigenetic underpinnings
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Questions of how Darwinian evolution started are addressable with modern biochemistry. Applicants are invited for a 2-year postdoc position in the field of RNA synthetic biology at the Department
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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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, Science Advances, 2026 D. Huang et al., Super-silencers are crucial for development and carcinogenesis in B cells, Nature Communications, 2025 D. Huang et al., The contribution of silencer variants to human
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of Luxembourg is looking for a Postdoctoral researcher to conduct research in development economics. The postdoctoral researcher will be working under the supervision of Professors Luisito Bertinelli and Jean
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The Section on Molecular Neurophysiology and Biophysics at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), in
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gained to improve the sustainability of agriculture and the climate change resilience of crops. The Maere lab at PSB ( http://www.maerelab.be ) is active in the fields of computational biology
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climate change, fostering sustainable agriculture, and preserving global biodiversity ( https://www.psb.ugent.be/ ). In this respect, an important research topic of the center is the interaction between
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The Jiang Lab (https://labs.icahn.mssm.edu/jianglab/) at the Icahn School of Medicine at Mount Sinai, New York is seeking a highly motivated postdoctoral fellow with expertise in genome editing
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Lab at Princeton University aims to recruit a postdoctoral fellow or more senior research position to work on projects related to the development of AI/machine learning approaches for chemical and