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team to primarily meet the postdoctoral recruitment needs of St. Jude Children's Research Hospital by developing and implementing effective recruiting strategies. This position requires travel
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will work with a team to primarily meet the postdoctoral recruitment needs of St. Jude Children's Research Hospital by developing and implementing effective recruiting strategies. This position requires
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colleague to have strong skills in quantitative data analysis. The candidate should also be experienced in or willing to develop experience in subglacial and sediment processes, including an interest in
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, or related field Proven experience in omics data analysis Knowledge of Bioconductor/R for biological data analysis Experience in object-oriented software development and building of modern web-based
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. Available research opportunities include development of microfabrication processes and novel devices, advancing transduction principles and their fundamental limits, and development of precision sensing and
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productivity and food web. The work will consider the impacts of stressors to marine systems, especially related to offshore wind farms, and how they propagate through and disrupt the food web. You will be a
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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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://www.meduniwien.ac.at/web/en/) in one of the most liveable cities in the world. Candidates will benefit from an excellent state-of the art set of resources, numerous educational events and interdisciplinary scientific
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, or related field Proven experience in omics data analysis Knowledge of Bioconductor/R for biological data analysis Experience in object-oriented software development and building of modern web-based
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the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models