BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Cancer Epigenetics Society - ECPv5.3.2.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Cancer Epigenetics Society
X-ORIGINAL-URL:https://ces.b2sg.org
X-WR-CALDESC:Events for Cancer Epigenetics Society
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20160327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20161030T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160608
DTEND;VALUE=DATE:20160711
DTSTAMP:20260903T070427
CREATED:20160426T095130Z
LAST-MODIFIED:20160426T101951Z
UID:15300-1465344000-1468195199@ces.b2sg.org
SUMMARY:ENCODE 2016: Research Applications and Users Meeting
DESCRIPTION:– Hands-on training workshops to learn to navigate\, analyze\, and integrate ENCODE and mouse ENCODE data into your research. No programming experience required.\n– Leading-edge research applications from distinguished invited speakers.\n– Tutorials on newly-available informatics pipelines that greatly facilitate working with ENCODE data.\n– Short talks selected from abstracts.\n– Poster sessions \nWORKSHOP TOPICS\n– Viewing\, querying\, and downloading ENCODE data\n– Running ENCODE processing pipelines on your own data (including ChIP-seq\, eCLIP-seq\, RNA-seq\, DNase-seq\, DNA methylation)\n– Integrating ENCODE data with those from your lab or other major projects\n– Using ENCODE data to interpret human variation\, personal genomes\, and disease (including cancer) genomes\n– Connecting regulatory elements to their target genes across the genome\n– Integrative analysis \n  \nRegistration is only $100 for academic attendees and $250 for non-academic attendees.\nThis does not include transportation or lodging\, but does cover meals.
URL:https://ces.b2sg.org/event/encode-2016-research-applications-and-users-meeting/
LOCATION:Li Ka Shing Learning and Knowledge Center\, 291 Campus Drive\, Palo Alto\, CA\, 94305\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160704
DTEND;VALUE=DATE:20160901
DTSTAMP:20260903T070427
CREATED:20160704T183407Z
LAST-MODIFIED:20160705T124600Z
UID:16304-1467590400-1472687999@ces.b2sg.org
SUMMARY:Postdoctoral Research Associate in pancreatic cancer pathogenesis (Chapel Hill\, NC\, USA)
DESCRIPTION:Lineberger Comprehensive Cancer Center Research Laboratory aims to understand the pathogenesis and pharmacogenomics of pancreatic cancer in order to accelerate its treatment. Using a combination of molecular and genomic data\, and human in mouse models\, we have identified four core subtypes in pancreatic cancer with important biologic and clinical implications. We are seeking a postdoctoral associate in cancer genomics and personalized medicine who will be responsible for computational method development\, data analysis\, and experimental design. The qualified candidate will integrate information from a combination of sources\, including high throughput screens\, proteomic\, and next-gen sequencing data in order to generate and validate hypotheses of therapeutic relevance to pancreatic cancer. The ideal candidate will have excellent qualifications in a quantitative/computational field with a strong interest in learning cancer biology and/or wet bench techniques. Candidates from a largely wet bench background with a Ph.D. may be considered if the quantitative/computational background is excellent. \nTo be successful\, the candidate must have experience in and interested in developing several of the following skill-sets: thorough knowledge of cancer biology\, epigenetics\, proteomics\, and transcriptomics; familiarity with next-generation sequencing data analysis tools; experience working in Linux environments\, including batch job management on shared computing resources; familiarity with a variety of supervised and unsupervised classification techniques; proficiency in one or more statistical or scripting languages\, preferably R or MATLAB; knowledge of survival-based statistical analysis\, e.g. Cox regression and Kaplan-Meier analysis; working knowledge of best-practices for machine learning to avoid over fitting; familiarity with common experimental techniques in molecular biology; ability to communicate scientific material and collaborate well with computational and non-computational partners; excellent oral and written communication skills and the ability to perform both self-directed and guided research; outstanding personal initiative and the ability to work effectively as part of a team; willingness to assist in the mentorship and training of pre-doctoral researchersPh.D. in a quantitative/computational field or a Ph.D. with an equivalent certificate in a quantitative/computational field is required; have experience in handling large datasets and have applied/developed computational algorithms in the context of molecular biology; have a thorough understanding of common statistical tests and distributions; be able to collaborate with experimental team members for validation of computational results; be comfortable maintaining datasets\, as well as displaying and interpreting processed data for publication; work alongside domain experts in the optimization and development of experimental measurement platforms and protocols.
URL:https://ces.b2sg.org/event/postdoctoral-research-associate-in-pancreatic-cancer-pathogenesis/
LOCATION:University of North Carolina – UNC-Chapel Hill\, Chapel Hill\, NC\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/png:https://ces.b2sg.org/wp-content/uploads/2016/07/U_North_Carolina-2.png
END:VEVENT
END:VCALENDAR