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interest) in nanopore based DNA methylation analysis and previous bioinformatics training. Requirements: PhD in a STEM subject. Candidates with degrees in neuroscience, data science, bioinformatics, and
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task essential for grid stability. The goals of the project are twofold. The first goal is to accelerate the solution of the large mixed-integer optimisation problems required to balance energy. The
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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that incorporates a broad range of neutrino and dark-matter models, assessing their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor
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experience with proteomic or lipidomic analysis is required. Experience with data-analysis with R is required; You are highly motivated, creative and willing to work with human blood samples and large -omics
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of axion production in dense media, with a particular emphasis on gamma-ray signatures, gravitational waves, and multi-messenger observables. Qualifications: Applicants should have: a PhD in physics or