Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Medical Sciences
- Computer Science
- Economics
- Biology
- Engineering
- Business
- Science
- Education
- Materials Science
- Mathematics
- Psychology
- Arts and Literature
- Social Sciences
- Law
- Humanities
- Chemistry
- Environment
- Sports and Recreation
- Linguistics
- Philosophy
- Earth Sciences
- Electrical Engineering
- Design
- Physics
- Statistics
- 15 more »
- « less
-
2026. The individual will join a fast-paced team that uses rodent models to study mTOR-pathway related disorders (such as Tuberous Sclerosis Complex - TSC) and autism spectrum disorder (ASD
-
trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
algorithms, data models, ontologies, and semantic data harmonization and integration strategies for a variety of translational research contexts, including the following data types: clinical research variables
-
aligned with the team’s tactical model. Provide individual and positional coaching to enhance technical and tactical growth. Contribute to match preparation, in-game decision-making, and post-game analysis
-
: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural
-
rodent (rat/mouse) models. The Research Fellow will work closely with a multidisciplinary team to design, build, and test sensor systems for recording neural and physiological signals. Responsibilities
-
mitochondrial quality leads to neurodegenerative diseases and impairs neuronal recovery. To approach these questions we use a combination of genetics, biochemistry, cell biology and imaging in a number of models
-
lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
-
Transparency). The main tasks will be to: Develop AI-assisted tools leveraging large language models (LLMs) to support community-based fact-checking Designi and evaluate methods to improve the robustness
-
Health. This role is responsible for creating a welcoming environment at UCSF Health entrances by greeting, screening, checking in, and badging patients and visitors, as well as providing support in