Hi everyone,
The Breeding Information Management System (BIMS) is now available in GDR.
We would like to have a one hour webinar (can be extended as needed) on
April 30th, 2018, 10 am PDT (1 pm EDT) to demonstrate how to use BIMS. The
webinar will cover how to create a private breeding program within BIMS,
how to control access levels to the personnel in their program, how to load
data in templates and/or in Field Book App output, how to
view/search/download data, how to perform various searches, and how to
create input files for the Field Book App.
You can access the sweet cherry public data in GDR BIMS and below is the
tutorial on BIMS.
https://www.rosaceae.org/BIMS_manual
Please join us and learn what BIMS can offer to your breeding/research
program!
GDR/BIMS team
Below is the GoToMeeting access information.
-----------------------------
BIMS webinar
Mon, Apr 30, 2018 1:00 PM - 2:00 PM EDT
Please join my meeting from your computer, tablet or smartphone.
https://global.gotomeeting.com/join/158205197
You can also dial in using your phone.
United States: +1 (872) 240-3412
Access Code: 158-205-197
Joining from a video-conferencing room or system?
Dial: 67.217.95.2##158205197
Cisco devices: 158205197(a)67.217.95.2
First GoToMeeting? Let's do a quick system check:
https://link.gotomeeting.com/system-check
*Cornell University – College of Agriculture and Life Sciences*
*School of Integrative Plant Science – Section of Plant Pathology and Plant
Microbe Biology*
*New York State Agricultural Experiment Station, Geneva, New York*
*Post-Doctoral Associate Position*
The College of Agriculture and Life Science is a pioneer of purpose-driven
science and Cornell University's second largest college. We work across
disciplines to tackle the challenges of our time through world-renowned
research, education and outreach. The questions we prove and the answers
we seek focus on three overlapping concerns: natural and human systems;
food, energy and environmental resources; and social, physical and economic
well-being.
We are seeking a highly motivated postdoctoral researcher with an interest
in interdisciplinary research into understanding disease resistance
mechanisms in rosaceous fruit trees. The candidate will have the
opportunity to do excellent and cutting edge research in genomics,
bioinformatics, and quantitative genetics and will have access to world’s
largest apple collection and state-of-art computational and genome
sequencing facilities. *Please read the “Required Qualifications” carefully
to apply for this position.*
The main responsibilities of this position are to identify QTLs, pathways,
and candidate genes underlying disease resistance in rosaceous fruit trees
through: 1) the application and development of bioinformatics tools for
heterozygous species to integrate high throughput genotyping, DNA
sequencing, RNA-Seq data with disease resistance/susceptibility phenotypes;
2) design and execution of experiments in the greenhouse and lab; as well
as to 3) publish peer-reviewed journal articles; 4) help develop research
proposals; and 5) present at international conferences.
*Specific Work Responsibilities:* The specific focus of this position will
be:
*Bioinformatics and quantitative genetics analysis (70%): *Application and
development of bioinformatic and quantitative genetic methods to dissect
genetic basis and candidate gene identification underlying disease
resistance
*Research Communication (15%):* Publish peer-reviewed journal articles,
present at scientific meetings, seminars, workshops and develop both
web-based and traditional tools for outreach and research extension.
*Experiments for assessment of disease resistance in Apples (10%):* Design
of experiments, inoculations, and assessment of disease; Sample collection,
DNA/RNA extraction, and sequencing
*Proposal Development (5%):* Motivated and creative thinker to support
development of research proposals for basic and applied plant genetics and
molecular biology.
*Required Qualifications:* Must possess a PhD in plant genetics/breeding,
plant pathology, plant molecular biology, or a related field. Candidate
must have excellent skills in bioinformatics, data mining, programing, and
statistics. Must have demonstrated experience with high-throughput genome
sequencing, RNAseq data, molecular markers and quantitative genetics and
good experience in molecular biology laboratory and greenhouse. Candidate
must have a record of publications with at least two first-author
publications in highly respected peer-reviewed journals and
be self-motivated for data analysis and writing research articles.
*Preferred Qualifications:*
Candidate should be able to multi-task and have good time management and
attention to detail in order to meet tight deadlines, and work
independently to initiate communications and ambitious collaborative
research. Creativity and proactiveness are assets, as well as enthusiasm to
work and interact in an international scientific environment. Excellent
student supervision/mentoring skills are beneficial.
Interested candidates should send letter of motivation, Curriculum Vitae,
and names and contact information for three references to:
*Awais Khan, Ph.D., Associate Professor,*
*Plant Pathology and Plant-Microbe Biology Section,*
*School of Integrative Plant Science,*
*New York State Agricultural Experiment Station*
*Cornell University*
*221 Barton Lab, 630 West North Street*
*Geneva, NY 14456 USA*
*Email: **awais.khan(a)cornell.edu* <awais.khan(a)cornell.edu>
