Sort by
Refine Your Search
-
, chemicals, infectious agents, animals, human subjects, and the like Open and timely discussion with the mentor regarding all facets of the Postdoctoral Appointee's research activities. Postdoctoral Appointees
-
, chemicals, infectious agents, animals, human subjects, and the like Open and timely discussion with the mentor regarding all facets of the Postdoctoral Appointee's research activities. Postdoctoral Appointees
-
spectrometry-based proteomic data generated in our chemoproteomics experiments. The postdoctoral associate will be responsible for developing and optimizing custom data analysis and visualization pipelines; and
-
cultured human and rodent cardiomyocytes, engineered heart tissues, and animal models of heart development and disease. Specifically, you will engage in basic science and applied research to explore
-
appropriate based on experience. They will also contribute to mentoring of junior lab members and actively participate in lab meetings and events. The successful applicant will join a thriving research
-
all applicable University and departmental policies and procedures. The postdoc candidate is expected to: 1) Develop coarse-grained or mesoscopic models of dynamic DNA nanostructures and polymer-grafted
-
pathways and mechanisms underlying autoimmunity from a lncRNA and epigenetic gene regulation perspective. We utilize biochemical assays, tissue culture, mouse transplantation & disease modeling experiments
-
computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
-
-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired
-
by two NIDA-funded grants. The first project, NEURONIC, utilizes a nasal spray paradigm to assess reactions to nicotine in a controlled, laboratory setting as a model of risk for addiction