Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Education
- Business
- Engineering
- Computer Science
- Biology
- Medical Sciences
- Electrical Engineering
- Physics
- Psychology
- Statistics
- Chemistry
- Materials Science
- Earth Sciences
- Social Sciences
- Environment
- Mathematics
- Humanities
- Law
- Sports and Recreation
- Arts and Literature
- Design
- Economics
- Philosophy
- 13 more »
- « less
-
Description Funding project: ANR DGA-ASTRID ‘SAFE-FIRE-CABLE’ Host institution: “Reaction and Resistance to Fire” (R2F) team, UMET Laboratory ( https://umet.univ-lille.fr/ ), Centrale Lille Institut
-
Institute of Physical Chemistry, Polish Academy of Sciences | Warsaw, Indiana | United States | about 18 hours ago
/25 „Smart Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a Predictive Model” project financed from the funds of Priority 2 of the European Funds for Smart
-
Cori Institute of Molecular and Computational Metabolism of the Austrian Academy of Sciences | Graz,12.Bez.:Andritz, Steiermark | Austria | about 1 month ago
exposures and human health At the center of the institute will be a continuous data–model–intervention cycle : biological measurements inform predictive models; models generate hypotheses and designs
-
Institute of Physical Chemistry, Polish Academy of Sciences | Warsaw, Indiana | United States | about 1 month ago
.05-0063/25 „Smart Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a Predictive Model” project financed from the funds of Priority 2 of the European Funds for
-
, validation, and performance evaluation Perform uncertainty quantification and statistical analyses of model outputs Maintain version control and reproducible modeling workflows 2. AI-Based Model
-
publications can be found on his lab website: https://www.zhuhlab.com The candidates will focus on one or two of the following projects: Developing predictive toxicity models for assessing new
-
spatiotemporal distributions of thermal variables, suffer from limited predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence
-
English. Experience with some of the areas of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi-objective
-
(DL), and big data analytics. His lab is developing new modeling strategies that can integrate heterogeneous public data into model development. Another major research interest is the use of large
-
(DL), and big data analytics. His lab is developing new modeling strategies that can integrate heterogeneous public data into model development. Another major research interest is the use of large