Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- France
- Germany
- Sweden
- Portugal
- Denmark
- Belgium
- Canada
- Switzerland
- Czech
- Austria
- Norway
- Italy
- Australia
- Singapore
- Finland
- Spain
- Morocco
- United Arab Emirates
- Estonia
- Hong Kong
- Ireland
- Poland
- Japan
- Romania
- Taiwan
- Brazil
- China
- Croatia
- Cyprus
- Greece
- Lithuania
- Luxembourg
- Macau
- Slovakia
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Engineering
- Earth Sciences
- Mathematics
- Science
- Environment
- Materials Science
- Social Sciences
- Arts and Literature
- Chemistry
- Humanities
- Linguistics
- Business
- Education
- Design
- Electrical Engineering
- Sports and Recreation
- Physics
- Psychology
- 12 more »
- « less
-
) Scale up forest dynamics predictions from stand to landscape level. As the PhorEau model cannot be run in a fully spatially explicit manner at large spatial scales, the PhD candidate will interpolate
-
Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational
-
machine learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly
-
in person in São Paulo and involves single-cell and spatial transcriptomics analysis, integration of multi-disease datasets, investigation of cell–cell communication, and the development
-
using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
-
Université Paris-Saclay GS Géosciences, climat, environnement et planètes | Orsay, le de France | France | 3 days ago
chaudes naturelles des Pyrénées-Orientales, situées à la frontière entre l'Espagne, l'Andorre et la France. L'objectif est d'analyser et de comprendre leur variabilité spatiale (température, composition
-
analysis pipelines and to integrate imaging data into computational models. It is an opportunity to work with research groups across the Cell-Matrix Centre and the Bioimaging Facility. The appointee will be
-
of Minnesota. U-Spatial is a nationally recognized model that provides consulting services and drives a fast-growing need for expertise in Geographic Information Systems (GIS), Geographic Information Science
-
simulation concepts with experience in wildfire modeling and loss assessment and regional planning of communities at the wildland-urban interface (WUI). Successful candidates will contribute to the development
-
machine learning models. ● Prior experience using spatially distributed hydrologic models, specifically those with snow mass and energy balance components Minimum Qualifications: Requires a minimum of a