Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Germany
- Netherlands
- France
- Sweden
- Spain
- Belgium
- Denmark
- Norway
- Italy
- Singapore
- Australia
- Finland
- Morocco
- Switzerland
- Czech
- Poland
- China
- United Arab Emirates
- Ireland
- Canada
- Austria
- Romania
- Luxembourg
- Estonia
- Japan
- Brazil
- Hong Kong
- Vietnam
- Andorra
- Bulgaria
- Croatia
- Greece
- Hungary
- Lithuania
- Malta
- Saudi Arabia
- Slovenia
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Environment
- Business
- Psychology
- Humanities
- Linguistics
- Arts and Literature
- Electrical Engineering
- Law
- Physics
- Social Sciences
- Education
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
-
particle formation for atmospherically relevant molecules. ORCTOOL (Organic Cluster Tools) aims to create a toolbox for understanding and cost-effectively predicting the rate of massively multicomponent
-
network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal
-
University Duties This PhD project is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on multi-scale modelling of aqueous organic redox flow batteries, to build a predictive
-
intelligence models for biomarker outcomes prediction and contribute to neural data analysis. Specific duties include, but are not limited to: Overseeing study MRI scanning procedure Coordinating study
-
financial goals through enrollment data analysis, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable
-
, Mullins effect, and damage mechanisms. The main objective is to identify biomechanical biomarkers of tissue fragility and to develop predictive models of stiffening and failure, integrating histological
-
The project: Non-destructive testing (NDT) is vital to ensure structures are safe and to reduce operating costs by facilitating predictive maintenance. The focus of this project is on improving
-
://chiralnanomat.eu/ we offer two PhD positions: DC9 - Bio-Functionalized Chiral Nanocluster Modelling via Machine-Learning Methods DC10 - Predictive Modelling and Rational Design of Asymmetric Catalysis by Chiral
-
part of the international Refuge-Arctic project (https://www.refuge-arctic.ulaval.ca ) with links to the NASA FORTE project, whose overall objective is to better understand and predict the role played by