Sort by
Refine Your Search
-
on the candidate’s interests and experience. Requirements: Ideal candidates should hold a PhD in the area of data science, computer science, bioinformatics, structural biology, or a related area, and have experience
-
require self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a
-
information of 3-5 references and copy of research statement. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender
-
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
-
opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related
-
experimental procedures. Data preparation for oral presentations, grant applications and publication in professional journals. Implementation of bioinformatics approaches. Conformance to standards of responsible
-
are diverse; with exciting ongoing grant-funded and pre- funded projects that include big-data, population health studies, mental health aspects of head and neck cancer outcomes, human papillomavirus (HPV), HPV
-
, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and
-
27710, United States of America [map ] Subject Areas: Biostatistics / Biostatistics and Data Science Data Science / Machine Learning Statistics / Statistics Appl Deadline: none (posted 2025/02/12
-
DESCRIPTION Duke University and North Carolina State University (NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration