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Postdoctoral Research Associate Jobs
Company | University of Southern California |
Address | Los Angeles, CA, United States |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-08-15 |
Posted at | 9 months ago |
USC is a leading private research university located in the heart of downtown Los Angeles – a global center for arts, technology and international business. As the largest private employer in the city – responsible for more than $5 billion annually in economic activity in the region – we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills. As a USC employee, you will enjoy excellent benefits and perks, and you will be a member of the Trojan Family - the faculty, staff, students and alumni who make USC a great place to work. Application help If you need assistance during the application process, see our application help. (If you already work for USC, see Your USC career.) At any point you may also contact our HR Service Center for help at (213) 821-8100 [email protected].
The University of Southern California is seeking to appoint a Post-Doctoral Research Associate within the Department of Radiology at the Keck School of Medicine. This position is funded by the NIH for 5 yrs through an R01, “Large-scale harmonization and integration of multi-modal ADNI data for the early detection of Alzheimer's disease and related dementias”, led by Dr Bino A. Varghese (https://sites.google.com/view/radiomicslabatusc/home). The project is a mulitPI-driven interdisciplinary collaboration with Dr Nasim Shiekh-Bahai, Dr. Jeiran Choupan at USC and Dr. Gaurav Pandey at the Ichan School of Medicine at Mt. Sinai (https://icahn.mssm.edu/profiles/gaurav-pandey) focused on preparing robust implementation of predictive modeling algorithms in a big data environment, especially large high-performance computing clusters.
This project calls for an enthusiastic and self-motivated early career researcher interested in working at the intersection of the computational and biomedical sciences. Candidates should have, or expect to soon obtain, a PhD in a relevant discipline and experience in imaging, image processing, machine/deep learning. They must also have strong mathematical and coding skills, and preferably some experience in open-source software development. Specific experience in Alzheimer’s is preferred but not required. As the successful candidate, you will join a diverse team with interests in imaging, machine learning, and multiomics across different diseases.
Your project will be focussed on quantitative imaging and AI to develop predictive models for Alzheimer's Disease (AD) and AD-related dementia (ADRD) using imaging scans (MRI & PET), clinical biomarkers, and genetics. You will review currently reported AD predictive models and associated ML approaches and compare them against each other to identify the best suited combination for classification. As an interdisciplinary project, you will also work closely with colleagues from the clinical and AD informatics community to develop tools for a high-throughput assessment. In addition to the AD/ADRD project, the selected candidate will be able to contribute to others ongoing in the lab, as well as define their own projects. In this appointment, you will have the opportunity to disseminate your research via peer-reviewed journals or abstracts and you will be supported in your continuing professional development via access to one-on-one mentoring , courses on grant writing, project management, supervision, and leadership. You will also be provided with opportunities to teach and supervise students at undergraduate and graduate levels.
For informal enquiries about the project, please contact the Principal Investigator, Dr Bino A. Varghese ([email protected]). To apply, send a CV, an experience statement and three reference letters [email protected].
Minimum Education: Ph.D. or equivalent doctorate Minimum Experience: 1 year Minimum Field of Expertise: Directly related education and experience in research specialization with advanced knowledge of equipment, procedures and analysis methods.
USC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC will consider for employment all qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring ordinance. We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email [email protected]. Inquiries will be treated as confidential to the extent permitted by law. Read USC’s Clery Act Annual Security Report Notice on Non-Discrimination Certain positions are subject to background screening EEO is the Law EEO is the Law Supplement Pay Transparency Non-Discrimination USC is an E-Verify Employer If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser:https://wd5.myworkday.com/usc/d/inst/1$9925/9925$82925.htmld
https://usc.wd5.myworkdayjobs.com/ExternalUSCCareers/job/Los-Angeles-CA---Health-Sciences-Campus/Postdoc-Research-Associate_REQ20136846
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