
Registration website
Location
New Orleans, LA
Open Date
Jul 1, 2021
Description
The
biofluids group at Tulane University invites applications for a
postdoctoral position funded, in part, by a grant from the National
Science Foundation’s Joint DMS/NIGMS Initiative to Support Research at
the Interface of the Biological and Mathematical Sciences to study
selective factors in the evolution of multicellularity. In particular,
the postdoctoral fellow will work with an interdisciplinary team of
mathematicians and biologists from Tulane University (New Orleans),
University of California (Berkeley) and Trinity University (San Antonio)
to develop computational modeling approaches for investigating
choanoflagellate hydrodynamic performance.
The postdoc will have the opportunity to teach in the Department of
Mathematics at Tulane University and will participate in other mentoring
and professional development activities.
Qualifications
The
successful candidate will have recently received a Ph.D. in
Mathematics, Biomedical Engineering, Mechanical Engineering, Computer
Science, Physics, or a related field and will be familiar with fluid
dynamics. The appointment is for one year and, subject to successful
performance and funding, renewable for up to two more years.
Application Instructions
Applicants
are requested to submit their current CV, research and teaching
statements, and three references through Interfolio at
https://apply.interfolio.com/00000. Applications completed before
August 31, 2021 will be given full consideration. Questions may be
addressed to Prof. Lisa Fauci ([email protected]).
Equal Employment Opportunity Statement
Tulane
University is an Equal Employment Opportunity/Affirmative Action
institution committed to excellence through diversity. Tulane University
will not discriminate based upon race, ethnicity, color, sex, religion,
national origin, age, disability, genetic information, sexual
orientation, gender identity or expression, pregnancy, marital status,
military or veteran status, or any other status or classification
protected by federal, state, or local law. All eligible candidates are
encouraged to apply.
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