Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Earth Sciences
- Business
- Environment
- Physics
- Social Sciences
- Statistics
- Education
- Chemistry
- Psychology
- Materials Science
- Electrical Engineering
- Design
- Science
- Arts and Literature
- Economics
- Law
- Mathematics
- Sports and Recreation
- Humanities
- Linguistics
- 14 more »
- « less
-
: • Bioinformatics and computational biology • Multi-omics data integration and analysis • Pharmacogenomics and computational drug discovery • Pharmacogenomics and precision medicine • AI and machine
-
approaches to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing
-
malignancies. Developing predictive models for precision oncology: We leverage large-scale multimodal datasets, including molecular profiling, clinical records, imaging, and longitudinal treatment histories
-
validating multi-modal biological models. The team will: i) generate experimental perturbation and measurement data at scale, ii) build multi-modal biological models and, iii) use the experimental data
-
University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 2 hours ago
) biological discoveries through multi-scale research at organellar to organismal levels are strongly encouraged. Required faculty responsibilities include developing an excellent research program
-
analysis of coupled electricity and gas networks, with a focus on large-scale European energy infrastructures Assess interactions between power, gas, and sector-coupled energy systems, with a focus on
-
project, DESY is launching one of the most ambitious and innovative large-scale research projects worldwide. PETRA IV, the most brilliant synchrotron radiation source of the next generation, will be the
-
CARA Lab and clinical partners in the Netherlands and abroad. You will work with large, multi-center clinical datasets and contribute to translating advanced computational methods into clinically
-
structures exposed to fire, blast, and multi-hazard fire-blast scenarios. Particular attention will be given to the effect of geometry (at compartment and component scale) on multi-hazard performance. A
-
sample tracking, processing workflows, and comprehensive lab and data analysis management for large-scale studies containing clinical and environmental sample and metadata collections designed for multi