Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Portugal
- Germany
- Sweden
- Netherlands
- Spain
- Norway
- Italy
- Belgium
- Denmark
- Australia
- Singapore
- Ireland
- Morocco
- Czech
- Luxembourg
- Finland
- China
- Poland
- Switzerland
- Canada
- Austria
- Hong Kong
- Japan
- Estonia
- Brazil
- United Arab Emirates
- Vietnam
- Andorra
- Hungary
- Macau
- Malta
- Saudi Arabia
- Slovakia
- Barbados
- Bulgaria
- Iceland
- Latvia
- Slovenia
- 31 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Business
- Environment
- Humanities
- Linguistics
- Psychology
- Arts and Literature
- Physics
- Law
- Social Sciences
- Electrical Engineering
- Education
- Sports and Recreation
- Design
- Philosophy
- 14 more »
- « less
-
RAP opportunity at National Institute of Standards and Technology NIST Modeling Complex Microstructures Location Information Technology Laboratory, Applied and Computational Mathematics Division
-
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
-
feed artificial intelligence models to predict fermentation performance and market impact. Where to apply Website https://www.univr.it Requirements Additional Information Eligibility criteria
-
relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
-
NOBM using prognostic fluxes predicted by the GISS climate model in order to characterize the dust pathways, the timing and magnitude of dust-iron deposition events, the regional and temporal variations
-
algorithms for anomaly detection and predictive maintenance of subsea structures Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of AI-driven models to identify
-
teams. Unit URL https://imci.uidaho.edu/ Position Qualifications Required Experience Experience with statistical or predictive modeling as demonstrated by publications in the field Evidence of strong
-
. The lack of knowledge is related to the models that should be used to auralize UAM in urban environments: new models are needed to predict noise exposure in urban cities. Traditional aircraft noise studies
-
- Process data and develop predictive chemometric models - Prepare manuscripts, reports, and presentations for dissemination of findings within the scientific community. - Evaluate the obtained results and
-
physics-informed machine-learning models for binding affinity predictions in rational small-molecule drug design. The models will allow prioritisation of candidates from hit discovery through to lead