Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- LINGNAN UNIVERSITY
- University of Melbourne
- Midlands Graduate School Doctoral Training Partnership
- ;
- DURHAM UNIVERSITY
- Tilburg University
- University of British Columbia
- University of Washington
- Academic Europe
- Durham University
- East Carolina University
- FLINDERS UNIVERSITY
- Flinders University
- Georgetown University
- IMCBio graduate school
- Midlands Graduate School Doctoral Training Partnership;
- National Renewable Energy Laboratory NREL
- Queensland University of Technology
- University College Cork
- University of California, San Francisco
- University of Canterbury
- University of Greenwich
- University of Sheffield
- University of Tennessee at Chattanooga
- University of Tennessee, Knoxville
- University of Texas at Dallas
- Virginia Tech
- Wageningen University and Research Center
- Zintellect
- 20 more »
- « less
-
Field
-
Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
-
Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student to develop learning-based surrogate
-
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
-
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
-
Infrastructure? No Offer Description Work group: IAS-8 - Datenanalyik und Maschinenlernen Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student in machine learning to work within
-
is far beyond in-situ observational networks. However, the accuracy of satellite retrievals depends on several assumptions leading to biased observations. The aim of the PhD-project is to overcome
-
Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
-
Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop
-
from Wastewater“ Would you like to learn the basics of efficient recycling methods as part of a PhD study, with a focus on the sustainable use of natural resources? If so, the PhD Graduate School WERA
-
. The top-up scholarship will be offered for a duration of 3.5 years for PhD students, and 1.75 years for Master of Philosophy students. The scholarship duration will be extended as appropriate for part-time