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prescise molecular mechanisms underlying the tumorigenic effects of mutant IDH1 remain elusive. The successful candidate will use established in vitro and in vivo models of mutant IDH1 to assess the early
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innovative researcher with a passion for developing new computational tools and contributing to cutting-edge research at the intersection of Physics and Earth system science. Background and relevance
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computational approaches with experimental immunology to understand immune regulation and disease mechanisms. We seek a talented computational biologist to join our interdisciplinary team focused on developing
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Do you want to contribute to top quality medical research? Come join the Engblom lab! We are seeking a skilled bioinformatician or computational biologist for projects in the intersection
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: The project seeks to explore novel RNA modifications and their roles and mechanisms in cancer initiation and progression, utilizing our state-of-the-art epigenetic/epitranscriptomic methods (Nature, 2016
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
science, mechanical engineering, electrical engineering, optical engineering, nanotechnology, or equivalent. Experience with drawing of optical fibers, especially hollow-core fibers. Fluency in English
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offers an extensive user training programme, supporting researchers in academic and industry. You will: Develop and apply computational methods and tools to extract disease mechanisms from single-cell and
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conveyors of OGT, and dissecting the relative molecular mechanisms of the OGT-CDG disease in fruit flies. You will be working closely with other postdoctoral researchers, guiding technician, maintaining
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. The successful candidate will work on projects investigating immune regulation mechanisms, with particular emphasis on T cell biology and immune regulation cancer immunology and immunotherapy, and protein and Cell
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Postdoc position (f_m_x) ,,Combining Physics-Based Machine Learning and Global Sensitivity Analys...
order reduction approaches using machine learning models for the simulation of thermo-hydro-mechanical (THM) processes Generation of predictive maps to evaluate the potential of induced seismicity Further