From isbra-l at dna.engr.uconn.edu Mon Dec 5 00:13:46 2011 From: isbra-l at dna.engr.uconn.edu (ISBRA Mailing List) Date: Mon, 5 Dec 2011 00:13:46 -0500 Subject: [BiO BB] [ISBRA-L] ISBRA 2012 First Call for Papers Message-ID: CALL FOR PAPERS 8th International Symposium on Bioinformatics Research and Applications May 21-23, 2012, Dallas,Texas http://www.cs.gsu.edu/isbra/ The International Symposium on Bioinformatics Research and Applications (ISBRA) provides a forum for the exchange of ideas and results among researchers, developers, and practitioners working on all aspects of bioinformatics and computational biology and their applications. Submissions presenting original research are solicited in all areas of bioinformatics and computational biology, including the development of experimental or commercial systems. Topics of interest include but are not limited to: * Biomedical databases and data integration * Biomolecular imaging * Bio-ontologies * Comparative genomics * Computational genetic epidemiology * Computational proteomics * Data mining and visualization * Gene expression analysis * Genome analysis * High-performance bio-computing * High-throughput sequencing data analysis * Molecular evolution * Molecular modeling and simulation * Pattern discovery and classification * Population genetics * Software tools and applications * Structural biology * Systems biology We seek two categories of submissions: extended abstracts of up to 12 pages in Springer LNCS format, and short abstracts of up to 4 pages. Both types of submissions must be made electronically by following the instructions at http://www.easychair.org/conferences/?conf=isbra2012. Submission implies willingness of at least one author to register and present at the symposium. Accepted extended abstracts will be published prior to the symposium in Springer-Verlag's Lecture Notes in Bioinformatics series and presented orally at the symposium. Accepted short abstracts will be published online and on CD-ROM and selected for either oral or poster presentation. As in previous years, full versions of selected extended abstracts presented at the symposium will be invited to a peer-reviewed special issue of IEEE/ACM Transactions on Computational Biology and Bioinformatics. The authors of remaining extended and short abstracts will be invited to submit full versions to a peer-reviewed volume to be published after the symposium in BMC Bioinformatics. KEY DATES Extended Abstracts Short Abstracts (12 pages) (4 pages) Submission deadline February 6, 2012 April 9, 2012 Notification of acceptance March 5, 2012 April 16, 2012 Final version due March 15, 2012 April 23, 2012 STEERING COMMITTEE Dan Gusfield (UC Davis) Ion Mandoiu (UConn) Yi Pan (GSU), Chair Marie-France Sagot (INRIA) Alexander Zelikovsky (GSU) GENERAL CHAIRS Ovidiu Daescu (UT Dallas) Raj Sunderraman (GSU) PROGRAM CHAIRS Leonidas Bleris (UT Dallas) Ion Mandoiu (UConn) Russell Schwartz (Carnegie Mellon) Jianxin Wang (Central South Univ.) -------------- next part -------------- _______________________________________________ To modify subscription preferences or unsubscribe from the ISBRA-L mailing list visit http://dna.engr.uconn.edu/cgi-bin/mailman/listinfo/isbra-l From pandey.gaurav at gmail.com Mon Dec 5 22:45:52 2011 From: pandey.gaurav at gmail.com (Gaurav Pandey) Date: Mon, 5 Dec 2011 22:45:52 -0500 Subject: [BiO BB] Research opportunities in systems biology at Mt. Sinai School of Medicine In-Reply-To: References: Message-ID: Please forward this announcement to potential applicants if it is not directly applicable to you. Apologies for cross-posting. --------------------------- The Institute for Genomics and Multi-scale Biology (multiscale.mssm.edu) at the Mount Sinai School of Medicine (www.mssm.edu) in New York City is seeking applications from enthusiastic and capable researchers for positions at Ph.D., postdoc and staff level. The Institute is the hub of genomics research at Mount Sinai, collaborating with13 other disease-oriented and core-technology-based institutes, and aims to translate genomics-based science into actionable medical knowledge. The Institute's faculty members have expertise in a wide range of areas such as machine learning, biostatistics, genetics, genomics, sequencing technology, data science, and high-performance computing (HPC). We wish to recruit capable and motivated graduate students, post-doctoral associates, and research staff members. Please look at the detailed announcement at the end of this email providing information on specific requirements for these positions. PhD and MD/PhD applicants should consult the requirements of the Graduate School at Mount Sinai ( http://www.mssm.edu/education/graduate-school) for application and potential admission. Others should send their requisite application material (see below) to multiscale.biology at mssm.edu. For more information, visit the Institute's website (multiscale.mssm.edu) and/or email multiscale.biology at mssm.edu. ------------------------------- The Multiscale Institute is actively recruiting graduate students, post-doctoral scholars and technical staff interested in working on challenging and important problems in computational systems biology, especially with a focus on translating this work to the medical domain. Prospective Students If you are a prospective MD ( http://www.mssm.edu/education/medical-education/programs/md-program), Ph.D. or MD/Ph.D. (http://www.mssm.edu/education/graduate-school) student, the Multiscale Institute provides a cutting-edge research environment, strong mentorship and comprehensive training in computational biology. Please check out the various degree programs within the Mount Sinai School of Medicine, and for Ph.D. students, the Genetics and Genomics Training Area (http://www.mssm.edu/education/graduate-school/degrees-and-programs/phd-program/multidisciplinary-training-areas/genetics-and-genomic-sciences)in particular, for more information. Alternatively, contact us directly at multiscale.biology at mssm.edu for information. The Multiscale Institute faculty members have backgrounds in Computer Science, Engineering, Statistics, Mathematics, Physics, Genetics, Molecular Biology, and related disciplines, and are looking for students from all of those fields. The essential requirement is an interest in and capability of thinking about real-world problems in quantitative terms. Additional desired (but not essential) characteristics will be (1) a background in biology, acquired through courses and/or research work and/or (2) experience with data-intensive real-world problems (from any domain) and/or (3) experience with programming. If you are not yet applying to graduate school, we recommend you to check out SURP ( http://www.mssm.edu/education/graduate-school/degrees-and-programs/summer-undergraduate-research-program), the Summer Undergraduate Research Program at Mount Sinai. Prospective Post-doctoral Scholars At the Multiscale Institute, you will have a chance to work with world class scientists and engineers tackling important and highly visible problems in computational biology, with an emphasis on translating such work into the medical domain. Some example targets of the Institute are identifying actionable biomarkers and therapeutics for complex human diseases. Candidates should have a recent PhD and/or MD degree in a science, technology, engineering or medical field, and discipline and high motivation to pursue independent research in computational biology. Applicants are expected to have a solid background in programming and computational techniques, with a working knowledge of molecular biology and genetics being highly desirable. To apply, send a CV, a research statement and contact information for three referees to the multiscale.biology at mssm.edu. More information about postdoctoral training at Mt. Sinai can be found at the Office of Postdoctoral Affairs ( http://www.mssm.edu/education/postdoctoral-training). Technical Staff We are looking for engineers and scientists to help Institute researchers extract clinical insight from petabyte-scale data sets. The ideal candidate will be comfortable in an academic environment, and will bring energy and creativity to the Institute?s work. In particular, the applicant is expected to have substantial experience working with big data and its associated infrastructure, including data retrieval from a variety of data-stores, statistics with R/C++/Java etc., and visualization for the web and print. A biology background is desired, but not required; we are primarily looking for people with strong data analysis and software engineering skills. To apply, send your resume to multiscale.biology at mssm.edu