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PRODID:-//Cancer Epigenetics Society - ECPv5.3.2.1//NONSGML v1.0//EN
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X-WR-CALNAME:Cancer Epigenetics Society
X-ORIGINAL-URL:https://ces.b2sg.org
X-WR-CALDESC:Events for Cancer Epigenetics Society
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DTSTART:20180325T010000
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DTSTART:20181028T010000
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DTSTART;VALUE=DATE:20180912
DTEND;VALUE=DATE:20181014
DTSTAMP:20260729T200815
CREATED:20180912T060552Z
LAST-MODIFIED:20180912T060552Z
UID:20616-1536710400-1539475199@ces.b2sg.org
SUMMARY:Research Assistant Professor
DESCRIPTION:The School of Biological Sciences\, University of Nebraska\, Lincoln\, NE\, USA\, seeks applications for a Research Assistant Professor to work on bioinformatics or computational biology\, genomics\, epigenetics\, omics-data integration\, etc. \nThe successful candidate will conduct the research on diverse projects in Dr. Chi Zhang’s Lab\, including bioinformatics tool development\, high-throughput data analysis\, and data integration. The candidate will also be responsible for lab management and assisting in the supervision of postdocs\, graduate students\, undergraduate students\, developing new areas of research\, and writing publications and grant proposals. Appointment is for three years with a possibility of further extension. \nMinimum Required Qualifications \n\nPhD degree in Bioinformatics\, Genomics\, Biological Sciences\, Biochemistry\, Biostatistics\, Physics\, or related fields.\n\n\nPractical experience of next-generation sequencing data analysis\, computational systems biology and data integration\, and solid knowledge in genomics\, gene expression/regulation and biological networks.\n\n\nProven skills in programming (such as Perl and R)\, experience with Linux/Unix environments and algorithm design.\n\n\nSolid background and knowledge in artificial intelligence (AI) and its application of biological data.\n\n\nSelf-motivated with excellent communication skills and an ability to work well in a team environment.\n\n\nAt least 7yr working experience in bioinformatics and/or computational biology.\n\nPreferred Qualifications \n\nEducation in computer science.\n\n\nBackground in both molecular biology and computer science.\n\n\nExperience in disease\, especially cancer\, related biological data analysis and/or plant genomics/genetics/epigenetics data analysis.
URL:https://ces.b2sg.org/event/neb-12sept18/
LOCATION:University of Nebraska\, 1400 R Street\, Lincoln\, NE\, 68588\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/jpeg:https://ces.b2sg.org/wp-content/uploads/2018/09/uni-nebraska-e1536732336321.jpg
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