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Field
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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SMRI Postdoctoral Research Associate who has: a PhD (or near completion) in mathematics or statistics primary research interests in a research area in the mathematical sciences proven research excellence
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researchers with: A PhD in Medicine, Pharmacy, Biostatistics, Epidemiology, Computer Science, Image Analysis, or another quantitative discipline. Achieved proficiency in statistical programming (e.g., R
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are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results of their scholarship. Responsibilities Plan, design, and execute complex
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their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps. The project emphasizes spectroscopic galaxy surveys—in particular
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Bioinformatics, statistics, genetics, or equivalent. The PhD must be completed no later than the time the employment decision is made good ability to develop and conduct research of good quality pedagogical
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Fixed term contract
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will
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or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods