Sort by
Refine Your Search
-
cells with organoid culture, which will create novel pre-clinical disease models. 3.Identifying vulnerabilities in treatment-resistant epithelial cancers. 4.Developing novel therapies targeting oncogenic
-
relevant experience(s) based on the job requirements. Responsibilities: · Manage, store, and analyze clinical research data · Conduct systematic literature reviews, develop hypotheses, critically think, and
-
transcranial electric and magnetic stimulation (TES and TMS) on an NIH-funded R01 project to develop and disseminate computational neuron models and their integration with TES and TMS electric field simulations
-
reviewed until all positions are filled. Applicants should prepare a cover letter, a current CV and list of publications, a research statement of less than three pages describing past accomplishments and
-
offered at Duke, and to develop working relationships with researchers at other universities. Furthermore, connection with the Durham city and public sector of the Durham region will be key
-
University is regularly ranked among the top research institutions in the US and worldwide. It is located in Durham, North Carolina. Position Description: The candidate will have opportunity to develop
-
neurological disorders through the development of new computational approaches for 3D movement analysis. Our goal is to probe the neural bases of natural behaviors while also enabling more objective and
-
women worldwide. This center, since inception, has catalyzed new research activities and the development and commercialization of several technologies that advance prevention and treatment of cervical and
-
responsive to lab agendas/goals in a timely manner. This Postdoc appointment allows for many technical, analytical, and professional career development opportunities to collaborate. The candidate will have
-
(PhD in computational biology, statistics, genetics or related field) with excellent quantitative and dry lab skills. The successful candidate will be expected to develop and lead computational analyses