303 development "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Nature Careers
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medicine. The lab invented the RNA origami method that allows rational design of RNA scaffolds and devices for expression in cells [1] and have recently developed RNA origami robots that can sense, compute
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Clurman lab (https://research.fredhutch.org/clurman/en.html works at the intersection of two
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staff office (ISO) https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
recurrent gene fusions (ESR1-CCDC170, BCL2L14-ETV6, RAD51AP1-DYRK4) and intragenic rearrangements (IGRs)—a largely unexplored class of genetic aberrations. Precision immuno-oncology: Develop next-generation
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development of blood and prostate cancers. Our research bridges basic, translational, and clinical studies to uncover mechanisms linking inflammation, DNA damage, and stem cell aging to cancer initiation and
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and career development resources through the Office of Scientific Career Development and the Student/Postdoc Advisory Committee. More information about the lab can be found at https://rasilab.github.io
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initially for two years with the possibility of extension. We are seeking a highly motivated researcher who is excited to play a key role in developing an ambitious research programme and establishing
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our website: https://www.list.lu/ How will you contribute? As part of a major European project on high‑performance, multifunctional textile materials, the Luxembourg Institute of Science and Technology
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the mission to examine the contribution of somatic mosaicism in healthy human brain development and in neurologic diseases and collaborates with the Huang lab for the analysis of their high throughput genetic
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are found. The successful candidate will develop and apply computational approaches to mass spectrometry-based metabolomics datasets, with discovery of unknown metabolites being a major focus. The laboratory