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Research Positions Available
Research Associate in Population Genetics,
University of Arizona
A Research Associate position in population genetics is available in
Michael Hammer's group at the University of Arizona.
Research projects are flexible and can be tailored to suit individual interests. However, they must contribute to the group's overall focus. Current studies include inferring human demographic history from genomic data (primarily DNA re-sequencing datasets), and distinguishing the roles of natural selection and demographic processes in shaping patterns of genomic variability. Our research group already hosts geneticists, computational biologists, applied mathematicians and anthropologists under this broad research agenda, and provides a working interdisciplinary research environment.
A major resource of the lab is a large, novel DNA re-sequencing database that represents 90 independent regions of the genome. Each 'neutral' genomic region, spanning approximately 20kb, maps to regions of moderate to high recombination far from coding DNA. Sampling is consistent across each genomic region and includes data from several indigenous populations in Africa, Eurasia and the Americas. Additional projects focus on sequencing candidate genes for complex traits such as resistance to disease and skin pigmentation on the same sample
panel as the 'neutral' genomic regions. This study design creates an
essentially unique genomic dataset.
Our group enjoys close ties with the laboratory of Jeffrey
Wall at USC as well
as other labs at the University of Arizona, notably those of Michael Nachman (EEB), Joseph Watkins (Math) and Stephen Lansing (Anthropology). Moreover, it benefits from an excellent extended community of researchers in population genetics, computer science, statistics and genomics at the University of Arizona.
Applicants for the position must have:
- A PhD in relevant field
- A graduation date no later than 30 April 2007
- Training in evolutionary biology and/or population genetics
- A background in either theoretical population genetics or a quantitative
field such as statistics with a strong interest in genetics
- Advanced computational skills, including at least one programming language.
The ideal candidate will have a strong background in theoretical population
genetics or in relevant areas of mathematics and statistics, skills in computer modeling by simulation or exact mathematical analysis, and be self-motivated and independent.
This position includes outstanding UA benefits including health, dental, and
life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition
reduction for the employee and qualified family members; access to UA
recreation and cultural activities; state retirement; and more.
To Apply:
All applicants must apply on-line.
Click
here to view the detailed job posting and to apply
Applicants must complete an appointed personnel application and attach a CV and letter of interest.
Applicants must also email copies of relevant publications and two letters
of recommendation to David Shropshire at
shrop@email.arizona.edu.
You may also go to UA CareerTrack and
search postings using job #37181.
As an equal opportunity and affirmative action employer, the University of
Arizona recognizes the power of a diverse community and encourages applications
from individuals with varied experiences, perspectives, and backgrounds.
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