Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Netherlands
- France
- Germany
- Sweden
- Spain
- Norway
- Belgium
- Denmark
- Italy
- Singapore
- Australia
- Morocco
- Finland
- Switzerland
- Czech
- Poland
- United Arab Emirates
- China
- Ireland
- Canada
- Austria
- Romania
- Luxembourg
- Estonia
- Japan
- Brazil
- Hong Kong
- Vietnam
- Andorra
- Bulgaria
- Croatia
- Greece
- Lithuania
- Malta
- Saudi Arabia
- Slovenia
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Environment
- Chemistry
- Business
- Psychology
- Humanities
- Linguistics
- Physics
- Electrical Engineering
- Law
- Arts and Literature
- Education
- Social Sciences
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
Job related to staff position within a Research Infrastructure? No Offer Description Do you want to be trained to develop multi-level thrombosis risk prediction models by integrating insights from
-
, artificial intelligence, and critical infrastructure protection. Research Topics The PhD research will focus on one or more of the following areas: Detecting, predicting, and preventing hybrid and cyber
-
OPEN APULIA Patti Territoriali per il sistema universitario pugliese 2022 | Italy | about 1 month ago
The development and integration of precision livestock farming tools represent a key element for optimizing and designing predictive models aimed at monitoring animal welfare. Available technologies and sensors
-
applied in particular to the modeling of 3D-printed concrete at the Navier laboratory, to better predict complex phenomena such as material curing and crack formation. Where to apply E-mail jeremy.bleyer
-
roughness, AM roughness is characterized by randomness, porosity, and powder adhesion, producing flow behaviors that existing correlations and turbulence models fail to predict. Understanding and modeling
-
, including renewable energy sources and energy storage systems.Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy infrastructure (e.g
-
simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
-
and difficult to anticipate. Predicting the spatio-temporal dynamics of these changes generally relies on empirical models, most of which project correlational relationships between species occurrences
-
their training and adaptation, Data modeling and quality assurance tools, Development of multi-level user interfaces, Classification and prediction models in environments with medical and health data, Explainable
-
Announcement - Mohammed VI Polytechnic University (UM6P), AgroBioSciences (AgBS) Job Title: Post-Doctoral in Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics