19 programming-"https:"-"https:"-"https:"-"CSIC" Postdoctoral positions at Stony Brook University
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parallel device biofilm biorepository program — explanted device biofilm characterization, quantification and sequencing (16S rRNA, fungal ITS) — with opportunities to apply quantitative/computational
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the Principal Investigator, Xiaoji Xu , in the Department of Chemistry, contributing to an active research program in combining ultrafast two-dimensional spectroscopy with AFM, as well as the development
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: The research group of Prof. Ramon Grima invites applications for 2 Postdoctoral Research Associates to join a program of work on the mathematical and computational theory of stochastic gene expression. The
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), bioinformatics, or theoretical ecology (modeling) research in peer-reviewed scientific journals ● Experience in programming in R, Python, or a similar programming language. ● A demonstrated commitment to
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Biology at Stony Brook University, invites applications for a Postdoctoral Research Associate to join a program of work at the interface of structural dynamics, allostery, and computational drug discovery
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autosomal dominant polycystic kidney disease (ADPKD) through two major research programs: (1) determining how disease-associated long noncoding RNAs regulate cyst initiation and progression, and (2) defining
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(IRACDA) program . This comprehensive program offers 1 year of support to outstanding candidates seeking postdoctoral research training along with an opportunity to obtain mentored teaching experience in a
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(IRACDA) program . This comprehensive program offers 1 year of support to outstanding candidates seeking postdoctoral research training along with an opportunity to obtain mentored teaching experience in a
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, plan and conduct research experiments. ● Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data
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motivated candidates for postdoctoral fellow related to chronic kidney disease. Our research program focuses on identifying mechanisms involved in the progression of chronic kidney disease. Specifically, we