Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- NIST
- AALTO UNIVERSITY
- Argonne
- Delft University of Technology (TU Delft)
- ETH Zurich
- National Energy Technology Laboratory (NETL)
- National University of Singapore
- Oak Ridge National Laboratory
- Technical University of Denmark (DTU)
- CEA
- CNRS
- Chalmers University of Technology
- Free University of Berlin
- Montanuniversität Leoben
- North Carolina State University
- Princeton University
- Stony Brook University
- The University of Manchester
- University of Glasgow
- University of North Carolina at Chapel Hill
- University of Texas at Dallas
- Aarhus University
- Basque Center for Applied Mathematics
- CIC energıGUNE
- Central Michigan University
- European Magnetism Association EMA
- Goethe University Frankfurt
- Harvard University
- ICMAB
- ICN2
- INM - Leibniz-Institute for New Materials gGmbH
- Imperial College London
- Institute of Fundamental Technological Research Polish Academy of Sciences
- KTH Royal Institute of Technology
- Max Planck Institute for Sustainable Materials •
- Nanyang Technological University
- SUNY University at Buffalo
- St Jude Children's Research Hospital
- Stockholm University
- UNIVERSITY OF VIENNA
- University Muenster
- University of Amsterdam (UvA)
- University of Birmingham
- University of California
- University of Lille
- University of Nottingham
- University of Nottingham;
- University of South Carolina
- University of Southern California
- University of Sydney
- University of Vienna
- Uppsala universitet
- 42 more »
- « less
-
Field
-
the deadline. Advanced magnetic materials proved a versatile platform for exploring emergent spin phenomena and developing next-generation technologies. In this PhD project, the candidate will employ atomistic
-
of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
-
or atomistic data, computational chemistry, computational physics, or a closely related area, with the ability to work across disciplinary boundaries. Strong Python programming skills and experience developing
-
techniques that leverage experimental data to construct detailed 3D representations of complex interfaces in energy storage and conversion devices at the atomistic level. These include solid-liquid (S-L
-
. You will work at the heart of an all-CEA consortium bringing together two complementary strengths — atomistic nuclear fuel physics at IRESNE and state-of-the-art generative AI at LIST — with access
-
-state hydrogen storage and compression technologies. A key aspect of the role will be the computational discovery, design, and modelling of metal (complex) hydrides using state-of-the-art atomistic and
-
the preponderance of surface and finite size effects. This project aims to dynamically track temperature-induced phase transitions at the nanoscale through atomistic simulations. Focusing on metallic alloys and
-
and multiscale modelling of helium effects in irradiated Fe–Cr alloys. The position focuses on computational materials science and atomistic simulations. The successful candidate will contribute
-
experience in atomistic simulations is preferred. • Development or working experience of generative models in scientific applications (e.g., diffusion/flow model) and working experience with agents
-
atomistic resolution. However, many chemically relevant processes involve rare events and activated transitions that occur on timescales inaccessible to conventional molecular dynamics simulations. Overcoming