Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Curtin University
- ;
- Harvard University
- National University of Singapore
- University of Bergen
- AbbVie
- The University of Queensland
- ; Technical University of Denmark
- American Museum Of Natural History
- Florida Atlantic University
- George Mason University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Missouri University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- UNIVERSITY OF MELBOURNE
- UiT The Arctic University of Norway
- University of New South Wales
- University of North Carolina at Charlotte
- University of Notre Dame
- University of Otago
- 11 more »
- « less
-
Field
-
Status: Closed Applications open: 1/08/2024 Applications close: 14/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Disclaimer Information
-
Mineral processing and engineering We enable critical research across sectors including mining and minerals, geochemistry, energy materials, environmental science, forensics, metallurgy and defence . Each
-
Solutions”, an interdisciplinary project integrating 2D and 3D seismic and well data with state-of-art numerical forward modelling to understand the role of salt basin geometry and intra-salt heterogeneity
-
) Human Resources (4) Information Science & Museum (4) Legal & Compliance (4) Media & Broadcast (4) Business Administration (3) Executive (3) Librarians (3) Reactor & Power Plant (3) Sales & Retail (3) Data
-
University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
focus of your research will be on mining publicly available data repositories and use machine learning to discover linkages between heterogeneous biological, social, and environmental data and human
-
Status: Closed Applications open: 17/11/2024 Applications close: 30/11/2024 View printable version [.pdf] About this scholarship Description/Applicant information Disclaimer Information
-
Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics