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Post-Doctoral Associate in Statistical Genetics/Omics/Imaging and Deep Learning

Company: University of Minnesota
Location: Saint Paul
Posted on: January 23, 2023

Job Description:

Apply for JobJob ID345564
LocationTwin Cities
Job FamilyAcademic
Full/Part TimeFull-Time
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 ( 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

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 or call (612) 624-UOHR (8647).

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:
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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