40 data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Nature Careers in United States
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email the following materials to Dr. Dolores Hambardzumyan at Dolores.Hambardzumyan@PennMedicine.upenn.edu Cover letter describing research interests and career goals Curriculum vitae Contact information
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benefits package provided Application Instructions Interested candidates should submit: CV, Brief cover letter describing research interests and experience, Contact information for 2–3 references If you are
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the department and across the university and join a cross-institutional research team focused on neuroscience, aging, and -omics data analysis. Responsibilities Develop and apply innovative machine learning
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into hazard frameworks Quantify ground-motion exceedance probabilities and compare different PSHA implementations Contribute to reproducible open-source research software and data workflows Collaborate within
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and melts in the resistive- and laser-heated diamond anvil cell using supercontinuum-based interferometry and other optical techniques. The resulting data will quantify the effect of temperature
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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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applicants should submit a CV, cover letter, and contact information for three references to Dr. Kian Lim at klim@dom.wustl.edu. Critical Skills and Expertise A strong background in in vivo and in vitro cancer
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the molecular heterogeneity and connectivity of spinal neurons, explore how descending systems in the brain convey information to the spinal motor system, and define the functional roles of spinal interneurons in
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experience is beneficial Experience with the analysis and interpretation of large data sets, in particular high-throughput sequencing data from eukaryotic organisms Solid skills in programming and scripting
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to prevent the onset of cancer. In parallel, our research is dedicated to advancing our understanding of bladder tumor evolution biology through the analysis of next-generation sequencing (NGS) data and the