Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Germany
- Sweden
- Netherlands
- Belgium
- Portugal
- Norway
- Switzerland
- Czech
- Spain
- Canada
- Denmark
- Finland
- Australia
- Austria
- Estonia
- Poland
- Singapore
- Hong Kong
- United Arab Emirates
- Italy
- Ireland
- Japan
- Luxembourg
- Morocco
- Romania
- Brazil
- Iceland
- India
- Lithuania
- Slovakia
- Slovenia
- Taiwan
- 25 more »
- « less
-
Program
-
Field
-
intervention systems; digital healthcare systems; real-time physiological monitoring technologies; multimodal data integration and analysis for imaging and sensing. Human Centered Models and Systems: human stem
-
analysis of spatial-omics and imaging data, developing a framework for simulations, simulating epidemics on social networks, building generative models to improve computation time for simulations, and other
-
the causal circuits driving the development and the functional specialisation of the largest macrophage population in the body: the liver-resident Kupffer cells. You will next develop Spatial CRISPR screens in
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 11 days ago
intelligence is growing at a fast pace, the bulk of the world's computing power remains targeted at modeling and predicting physical phenomena, such as climate models, weather forecasting, or nuclear physics
-
to the Institute’s needs. Requirements for candidates: Proven experience in advanced hydrological modeling (e.g., conceptual or physically based spatially distributed models), particularly with SWAT+, SWAT-MODFLOW and
-
carried out include the pre-processing of spatial and temporal data and the implementation of Machine Learning models for the classification of fishing activity. The grant holder will also support the
-
. The main activities include: (i) the experimental implementation and characterisation (spectral, spatial and intensity noise) of frequency conversion devices using chalcogenide components/materials (crystals
-
biochemical models, data assimilation, spatial analysis and GIS approaches. • Programing skills (e.g. R or Python) for data manipulation and visualisation, and to perform statistical analysis (e.g. mixed models
-
and structures in biomedical image data. Additionally, the candidate will analyze spatial transcriptomic data to evaluate spatial patterns of genes in tissues. They will primarily work on projects
-
. We apply these advanced imaging technologies to clinically meaningful model systems in order to evaluate their robustness, scalability, and added value for translational research. By combining super