#capra: hyland

[evoldir]

Fwd: Postdoc: ColdSpringHarborLab.ComputationalGenomics

Begin forwarded message: > From: evoldir@evol.biology.mcmaster.ca > Subject: Postdoc: ColdSpringHarborLab.ComputationalGenomics > Date: 6 January 2016 at 07:28:23 GMT > To: rdmpage@gmail.com > > > > POSITION DESCRIPTION: > Postdoctoral Positions in Computational Genomics. Postdoctoral > positions are available in Dr. Adam Siepel's research group in its new > location at the Simons Center for Quantitative Biology at Cold Spring > Harbor Laboratory. The Siepel Group specializes in the development of > probabilistic models, algorithms for inference, prediction methods, and > application of these methods in large-scale genomic data analysis. Of > particular interest is research relevant to existing, NIH supported > projects in (1) HUMAN POPULATION GENOMICS, including demography inference > using Bayesian coalescent-based methods, inference of natural selection > on regulatory and other noncoding sequences, and prediction of fitness > consequences for noncoding mutations; and (2) TRANSCRIPTIONAL REGULATION > in mammals and Drosophila, including the estimation of rates and > patterns of transcriptional elongation from GRO-seq data, prediction of > transcription factor binding sites from DNase-seq data, and regulatory > network inference based on joint patterns of transcription and binding > in inducible systems. The research on transcriptional regulation will > continue to be carried out in close collaboration with Dr. John Lis at > Cornell University. > > RELEVANT RECENT PAPERS: > Kuhlwilm M, Gronau I, Hubisz MJ, de Filippo C, Prado J, et al. Ancient > gene flow from modern humans into Siberian Neandertals. Nature (in > press), 2015. > > Danko CG, Hyland SL, Core LJ, Martins AL, Waters CT, et al. Identification > of active transcriptional regulatory elements from GRO-seq > data. Nat. Methods. 2015. 12(5):433-438. PMCID: PMC4507281. > > Rasmussen MD, Hubisz MJ, Gronau I, Siepel A. Genome-wide inference of > ancestral recombination graphs. PLOS Genet. 2014. 10(5): e1004342. PMCID: > PMC4022496. > > Freedman AH, Gronau I, Schweizer RM, Ortega-Del Vecchyo D, Han E, et > al. (30 co-authors). Genome sequencing highlights the dynamic early > history of dogs. PLOS Genet. 2014. 10(1):e1004016. PMCID: PMC3894170. > > Core LJ, Martins AL, Danko CG, Waters CT, Siepel A, et al. Analysis of > nascent RNA identifies a unified architecture of initiation regions at > mammalian promoters and enhancers. Nat. Genet. 2014. 46(12):1311-1320 > PMCID: PMC4254663. > > Capra JA, Hubisz MJ, Kostka D, Pollard KS, Siepel A. A model-based > analysis of GC-biased gene conversion in the human and chimpanzee > genomes. PLOS Genet. 2013. 9(8):e1003684. PMCID: PMC3744432. > > Arbiza L, Gronau I, Aksoy BA, Hubisz MJ, Gulko B, Keinan A, Siepel > A. Genome-wide inference of natural selection on human transcription > factor binding sites. Nat. Genet. 2013. 45(7):723-729. PMCID: PMC3932982. > > Gronau I, Arbiza L, Mohammed J, Siepel A. Inference of natural > selection from interspersed genomic elements based on polymorphism and > divergence. Mol. Biol. Evol. 2013. 30(5):1159-1171. PMCID: PMC3697874. > > Gronau I, Hubisz MJ, Gulko B, Danko CG, Siepel A. Bayesian > inference of ancient human demography from individual genome > sequences. Nat. Genet. 2011. 43(10):1031-1034. PMCID: PMC3245873. > > The ideal candidate will be enthusiastic, highly motivated and > independent; will have a strong background in comparative genomics, > population genomics, or transcriptional regulation, a serious > interest in molecular biology and genetics combined with good skills in > mathematics and computer science, and a strong record of accomplishment in > research. Postdoctoral associates in the group are expected to participate > in both methods development and data analysis, to be comfortable in > a fast-moving, interactive, and collaborative research environment, > and to actively publish and present results. > > REQUIRED QUALIFICATIONS: > Ph.D. in bioinformatics, computer science, statistics, genetics, molecular > biology, applied mathematics, or a related field. > > Research experience (with first-author publications) in computational > genomics or a closely related field. > > Fluency in probabilistic modeling and computational statistics. > Proficiency in programming, ideally in C or C++, as well as in scripting > languages such as python, Perl, mat lab, or R. Should be comfortable in a > Linux environment, with large data sets, computer clusters, and databases. > > JOB LOCATION: CSHL, One Bungtown Road, Cold Spring Harbor, NY 11724 > > TO APPLY: Position Number > 01229-R. https://ift.tt/38UT3tU. > > > "Gill, Irene" > via IFTTT