E v o l D i r

120 EvolDir December 1, 2012
a coordinated research effort through four universities
with a potential for further collaboration and on-site
visits as well as conference travel.
Research Description: Research will focus primarily on
the bioinformatic analysis of single-cell genomic and
metagenomic DNA sequences. Metabolic reconstruction
of uncultured Archaeal and Bacterial taxa will be
performed through the adaptation and development of
advanced bioinformatic techniques.
The Department of Biological Sciences at NIU provides
opportunities for collaboration with a diverse array of
researchers in all fields of biology. For further information
and description of the Northern Illinois University
campus and the town of DeKalb, IL please
see the project URL above, Dr. Swingley’s site at
http://www.bios.niu.edu/swingley/swingley.shtml and
the NIU homepage at http://www.niu.edu/index.shtml
. REQUIRED SKILLS A Ph.D. in Biology with emphasis
on Microbial Ecology or related field. A general
working knowledge of microbial metabolism. Preferred
candidates will have familiarity with bioinformatic
techniques and scripting languages such as Perl,
Java or SQL.
MATERIALS Apply electronically to: swingleypostdoc@niu.edu.
Applications should include: cover letter,
CV and three current letters of recommendation.
Questions should be directed to Dr. Wes Swingley at
wswingley@niu.edu.
Deadline: Review of applications will begin November
9, 2012 and continue until the position is filled.
In compliance with the Illinois Campus Security Act,
before an offer of employment is made, the university
will conduct a pre-employment background investigation,
which includes a criminal background check.
NIU values diversity in its faculty, staff and student
body. We strongly encourage applications from candidates
who can serve as role models to our diverse
student population.
In accordance with applicable statutes and regulations,
NIU is an equal opportunity employer and does not discriminate
on the basis of race, color, national origin, ancestry,
sex, religion, age, physical and mental disability,
marital status, veteran status, sexual orientation, gender
identity, gender expression, political affiliation, or
any other factor unrelated to professional qualifications,
and will comply with all applicable federal and state
statutes, regulations and orders pertaining to nondiscrimination,
equal opportunity and affirmative action.
NIU recognizes Dual Career issues.
wswingley@msn.com
OxfordU 6 PathogenGenomics
We are seeking exceptional, creative, quantitatively
minded scientists to join our multidisciplinary team of
researchers using population genomics to understand
the evolution and transmission of human pathogens.
We are seeking to appoint a number of promising young
researchers to extend our existing strengths in the areas
of phylogenomics, statistical genetics and bioinformatics.
Based in the Nuffield Department of Medicine, we are
studying a range of bacterial and viral pathogens including
tuberculosis, MRSA, Clostridium difficile and
norovirus. Our research interests include within-host
evolution, the genetic basis of virulence, transmission
dynamics and outbreak investigation via real-time genomics.
A major translational goal of our project is to exploit
the transformative effect of population genomics on
bacteriology to improve routine clinical practice in public
health and microbiology laboratories.
Our research is supported by the UKCRC Modernising
Medical Microbiology Consortium, the Health Innovation
Challenge Fund, the NHS National Institute for
Health Research and the Oxford Biomedical Research
Centre, and pursued in collaboration with clinical colleagues
in Leeds, Birmingham and Brighton, the Health
Protection Agency and the WTSI.
The positions are:
Population/Statistical Geneticist (three posts):
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq
jobspec version 4.jobspec?p id=105437
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq
jobspec version 4.jobspec?p id=105456
Computational Bioscientist/Bioinformatician
(two posts): https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq
jobspec version 4.jobspec?p id=-
104655 https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq
jobspec version 4.jobspec?p id=-
105424 Medical Statistician (one post):
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq
jobspec version 4.jobspec?p id=105441
For examples of recent papers see: http:/-
/www.thelancet.com/journals/laninf/article/-
PIIS1473-3099%2812%2970277-3/fulltext http://www.pnas.org/content/109/12/4550.fullhttp://-