Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Oak Ridge National Laboratory
- Curtin University
- La Trobe University
- Massey University
- Midlands Graduate School Doctoral Training Partnership
- Singapore University of Technology & Design
- University of Cambridge
- University of Greenwich
- University of North Carolina at Chapel Hill
- University of Washington
- 1 more »
- « less
-
Field
-
descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
-
heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
-
Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
-
for a highly motivated PhD candidate to join our world-leading research program in Earth System modelling and improving Earth System Modeling by better merging of measurement data and model simulations
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
is also leading the development and validation of novel machine learning methods for LEGEND simulations and analysis. We have been heavily involved in constructing, commissioning, and operating
-
Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
-
Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
-
the behavior of complex rotating machinery operating under extreme conditions. Through the integration of modeling, simulation, and experimental validation, the group supports the design, performance
-
Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | 3 months ago
), the phenomenon wherein weakly-reinforced behaviours persist longer after reinforcement ends than strongly-reinforced ones. Recent pilot findings with experimental simulations of socioeconomic circumstances show
-
the PhD Programme in the Host University, and envisages future employment in SUTD. The SUTD–GEMS is tenable for a period of up to 5 years. Eligibility Criteria Singapore Citizen Singapore Permanent Resident