Post-Doctoral Associate in Statistical Genetics/Omics/Imaging and Deep Learning
Company: University of Minnesota
Location: Saint Paul
Posted on: January 23, 2023
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Job Description:
Apply for JobJob ID345564
LocationTwin Cities
Job FamilyAcademic
Full/Part TimeFull-Time
Regular/TemporaryRegular
Job Code9546
Employee ClassAcad Prof and Admin
Add to Favorite JobsEmail this JobAbout the Job
Post-doctoral Associat in Statistical Genetics/Omics/Imaging and
Deep Learning in the Divsion of BiostatisticsMultiple post-doc
positions (up to 3) are available now (until filled) in the
Division of Biostatistics at the University of Minnesota,
Minneapolis, MN, USA. For more info, visit The post-doc will work
with Dr. Wei Pan ( or ), Dr. Xiaotong Shen
(http://users.stat.umn.edu/-xshen/) and other collaborators in the
University of Minnesota. The research will focus on applying,
developing and implementing novel statistical methods for causal
and integrative deep learning with GWAS/sequencing data and
multiple types of omic/neuroimaging data, as in TWAS and IWAS. In
addition to new methods development and evaluations, the job
responsibilities include software development (mostly in R, or in
Python/TensorFlow/Keras/PyTorch for deep learning), possibly theory
development, simulation studies, real data analysis, and writing
manuscripts.Each of the annually renewable appointments is for 1-2
years, possibly extendable to year 3, conditional on satisfactory
performance and funding availability. Deadline: Each position is
immediately open until filled.Questions? Inquiries are welcome and
should be directed (preferably along with CV) to Dr. Wei Pan by
email at
Qualifications
A PhD degree in Biostatistics, Statistics, Computer Science or a
related field, strong computing/programming and communication
skills, and previous research experience in at least one of 1)
statistical genetics/genomics/omics, 2) neuroimaging or medical
imaging, and 3) machine learning/deep learning, and 4) a related
topic (e.g. Big Data) are required.
How To Apply
Applications must be submitted online. To be considered for this
position, please click the Apply button and follow the
instructions. You will have the opportunity to complete an online
application for the position and attach a cover letter and
resume.Additional documents may be attached after application by
accessing your "My Job Applications" page and uploading documents
in the "My Cover Letters and Attachments" section. This position
will remain open until filled.To request an accommodation during
the application process, please e-mail employ@umn.edu or call (612)
624-UOHR (8647).
Diversity
The University recognizes and values the importance of diversity
and inclusion in enriching the employment experience of its
employees and in supporting the academic mission. The University is
committed to attracting and retaining employees with varying
identities and backgrounds.The University of Minnesota provides
equal access to and opportunity in its programs, facilities, and
employment without regard to race, color, creed, religion, national
origin, gender, age, marital status, disability, public assistance
status, veteran status, sexual orientation, gender identity, or
gender expression. To learn more about diversity at the U:
http://diversity.umn.edu.
Employment Requirements
Any offer of employment is contingent upon the successful
completion of a background check. Our presumption is that
prospective employees are eligible to work here. Criminal
convictions do not automatically disqualify finalists from
employment.
Please note: All employees at the University of Minnesota are
required to report complete vaccination against COVID-19 or submit
documentation requesting a medical or religious exemption on their
first day of employment. To learn more, please visit the .
About the U of M
The University of Minnesota, Twin Cities (UMTC)The University of
Minnesota, Twin Cities (UMTC), is among the largest public research
universities in the country, offering undergraduate, graduate, and
professional students a multitude of opportunities for study and
research. Located at the heart of one of the nation's most vibrant,
diverse metropolitan communities, students on the campuses in
Minneapolis and St. Paul benefit from extensive partnerships with
world-renowned health centers, international corporations,
government agencies, and arts, nonprofit, and public service
organizations.
Keywords: University of Minnesota, St. Paul , Post-Doctoral Associate in Statistical Genetics/Omics/Imaging and Deep Learning, Other , Saint Paul, Minnesota
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