Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Country
- 
                Employer- University of Luxembourg
- Argonne
- Technical University of Denmark
- National Renewable Energy Laboratory NREL
- Nature Careers
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- University of Oxford
- Aalborg Universitet
- Aalborg University
- Brookhaven National Laboratory
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Durham University
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Heriot Watt University
- ICN2
- INESC TEC
- Leibniz
- Linköping University
- Norwegian University of Life Sciences (NMBU)
- Stanford University
- University College Dublin
- University Medical Center Utrecht (UMC Utrecht)
- University of Colorado
- University of Miami
- University of Southern Denmark
- University of St. Thomas
- University of Virginia
- Łukasiewicz Research Network - Krakow Institute of Technology
- 23 more »
- « less
 
- 
                Field
- 
                
                
                with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and 
- 
                
                
                Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics—ideally in accelerator science or engineering—or a closely related field Demonstrated experience or strong interest 
- 
                
                
                into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research. Completed a PhD degree in a highly quantitative and analytical discipline (electrical 
- 
                
                
                for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages 
- 
                
                
                include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools