Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
Apply Now Job Summary The clinical research position will provide study coordination for multiple clinical research studies of varying complexity for the Scleroderma Program in the Division
-
methodology development as well as applied cancer bioinformatics in a variety of disease sites, including the incorporation of statistical, machine learning & QML ideas. Multiple collaborative opportunities
-
stakeholders to design oligo modifications aligned with project goals. Support experimental design and data analysis to ensure robust technical outcomes. Resource Management & Compliance Maintain inventory
-
development in Neurodevelopmental disorders associated with altered chromatin regulation. The candidate will participate in multiple NIH-funded projects that explore disease mechanisms in rodent and human
-
scientist to our team! For inquiries, please contact Dr. Swathi Yadlapalli at swathi@umich.edu . Responsibilities* Design and execute independent research projects aligned with your interests and the lab's
-
based in New York, NY. The selected candidate must be able to travel multiple times per week, primarily during school hours (8 AM - 2 PM), for activities requiring data collection in the Bronx borough
-
the project's multiple principal investigators (MPIs), the Post-Doctoral Research Fellow will contribute to the scientific aims of NSAL, including but not limited to: Assisting the MPIs and Project Director on
-
leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
-
team member and independently. Able to cultivate relations with multiple personalities. Ability to prioritize multiple tasks and meet deadlines. Ability to adhere to strict confidentiality guidelines
-
research, especially deep learning literature, and how these methods apply to our use cases Ability to manage multiple projects and assignments with a high level of autonomy and accountability for results