Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
of the research is to use machine learning methods to find models of ship trajectories and traffic patterns that can be used to detect anomalies and predict into the future. The basis for this is huge amounts
-
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 a Smart Economy Program
-
for the development of more predictive preclinical platforms. This PhD project is part of the ANR JCJC EXOFLEX project, which aims to develop an instrumented microfluidic platform capable of simultaneously controlling
-
designed to prevent excessive mucus degradation. Finally, we will develop a model to predict disruption of the gut mucosal barrier. This model will be evaluated in non-invasive samples from individuals with
-
loading, and functional genomics. 3. Computational Modeling of pHLA Recognition and Protein Design Computational protein design, machine learning, molecular recognition, and predictive approaches
-
candidate (m/f/d) for the “Development of a digi-tal twin and model predictive control for filtration processes”. Project Join a research initiative in the field of Industry 4.0 and cyber-physical systems
-
the synthesis of functional inorganic materials. You will be developing modelling methods to explain and predict how molecular additives can be used to control the formation of particular phases and produce
-
and component reliability. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Growing mission complexity, the need for European
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 30 days ago
Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor
-
of tropical forest-climate system interactions, and works on cutting edge advancements in model predictions of tropical forest responses to a changing climate over the 21st Century. We invite outstanding early