Sort by
Refine Your Search
-
associate will design and implement experiments, collect and analyze data, and summarize the study as presentations andmanuscripts. DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate
-
decoding in real-world and virtual reality environments. Key Responsibilities: · Design and implement experiments studying memory and navigation, integrating intracranial recordings, wearable sensor data
-
assessment (LCA) and related tools for managing large data sets to evaluate natural resources needed to advance emerging technologies. The candidate will lead their primary project and integrate into active
-
to define and lead specific research objectives aligned with the funded aims. Responsibilities will include project management, coordination of data collection and analysis, manuscript preparation, and
-
, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation
-
. Responsibilities include: - Development of new and implementation and modification of existing experimental procedures. - Data preparation and contribution to oral presentations, grant applications, and publication
-
applications in environmental health and ecology as well as working with motivating datasets to become familiar with the data structure, challenges and competing methods. This position requires a Phd degree in
-
expands the lab’s protein engineering capabilities. This position is also crucial for mentoring junior members on PACE workflows and supporting data generation for collaborative therapeutic development
-
to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including
-
27710, United States of America [map ] Subject Areas: Statistics / Statistics Biostatistics / Biostatistics and Data Science Data Science / Machine Learning Appl Deadline: none (posted 2025/02/12