Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Germany
- Portugal
- Sweden
- Spain
- Netherlands
- Italy
- Norway
- Australia
- Singapore
- Belgium
- Canada
- Denmark
- Austria
- China
- Poland
- United Arab Emirates
- Finland
- Ireland
- Czech
- Morocco
- Switzerland
- Luxembourg
- Hong Kong
- Japan
- Brazil
- India
- Slovakia
- Romania
- New Zealand
- Cyprus
- Greece
- Macau
- Croatia
- Estonia
- Saudi Arabia
- Latvia
- Lithuania
- Israel
- South Africa
- Bulgaria
- Mexico
- Slovenia
- Taiwan
- Worldwide
- Malta
- Andorra
- Iceland
- Vietnam
- Kyrgyzstan
- Armenia
- Bangladesh
- Barbados
- Europe
- Guadeloupe
- 47 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Engineering
- Science
- Business
- Mathematics
- Education
- Materials Science
- Psychology
- Chemistry
- Social Sciences
- Arts and Literature
- Environment
- Earth Sciences
- Humanities
- Law
- Linguistics
- Electrical Engineering
- Sports and Recreation
- Physics
- Philosophy
- Design
- Statistics
- 15 more »
- « less
-
for the characterization of risks associated with meteorological and climatic phenomena by integrating model results with high-resolution exposure and vulnerability information. Where to apply Website https
-
-5/P, TROPOMI) with numerical modeling to monitor air quality and environmental risks. Key objectives include developing high-resolution maps for atmospheric pollutants (CO, NOX, SO2, NH3, OCS, CH4
-
the implications for forest ecosystem service supply. The main methodological approach applied will be forest landscape simulation modelling using the model iLand. The work is embedded in the BETA-FOR project (https
-
for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
-
on correlation-based machine learning. When an agricultural system fails due to compounding climate extremes - like a simultaneous heatwave, drought, and ozone pollution spike - standard models can forecast the
-
amplitude) are hampered by the specificity of InSAR data (wrapped phase, loss of coherence, atmospheric fringes, etc.) and the lack of labelled data to train the models. To address these challenges, previous
-
focus on the molecular mechanisms governing liquid–solid interfacial dynamics. Using molecular dynamics simulations combined with theoretical modeling, the project will investigate how confinement
-
Intelligence algorithms for the fashion industry, including predictive models for sales and trend forecasting, multimodal generative models for visual and textual content analysis, and decision-support systems
-
the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of mathematical models and Artificial Intelligence algorithms
-
reactors using ionic liquids. In particular, a methodology will be developed to scale up the laboratory results, and a techno-economic pseudo-transient lumped-parameter model of the reactor will be created