Sort by
Refine Your Search
-
. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
-
differentiation and melanoma and multiple myeloma biology utilizing cultured cells and animal models of skin diseases. Work Performed • Development of new and implementation and modification of existing
-
• Writing fellowship applications as appropriate for the development of your career Choose Duke. This will be a minimum one-year appointment, contingent upon satisfactory annual reviews. Salary is
-
mechanisms underlying risk for addictive disorders—with a primary focus on tobacco dependence and relapse—and translating this information to develop more efficacious interventions. This position is supported
-
to other scientific projects within the lab as well as your own. Write fellowship and/or grant applications as appropriate for the development of your career Present research findings at local and national
-
://sites.duke.edu/yanglab/). Be part of a dynamic, interdisciplinary team working to unravel the unknown functions of membrane ion channels and lipid transporters in human health. Develop novel therapeutic approaches
-
the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in collaboration with other researchers on machine learning tools that help humans make better
-
on performance and funding. If interested, please contact Erika Juhlin (erika.juhlin@duke.edu). Provide scientific input for research activities such as proposal and manuscript development, project management
-
will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
-
, Brown University, and Eli Lilly & Company. Under the guidance of the PIs, co-investigators, and collaborators, the Postdoc Associate will be responsible for developing new statistical methods to empower