Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Employer
- 
                Field
- 
                
                
                Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by July 15, 2025ONLINE formally through the HR system. Applications by Email will not be... 
- 
                
                
                and image analysis (MATLAB or Python), machine learning techniques, and basic programming/coding will be a plus. Fluency in English is mandatory. Willingness to work in an inter-cultural and 
- 
                
                
                electrochemical synthesis of copper-based materials for a two-year position. This project is part of a large collaboration between LIST and Circuit-Foil, a copper foil manufacturing company based in Luxembourg. You 
- 
                
                
                model inversion including machine and deep learning methods · Publications in peer-reviewed journals This position is part of the doctoral training unit FORFUS (https://www.list.lu/en/research 
- 
                
                
                science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with 
- 
                
                
                electrochemical synthesis of copper/carbon composite materials for a two-year position. This project is part of a large collaboration between LIST and Circuit-Foil, a copper foil manufacturing company based in 
- 
                
                
                learning models) in these tasks. These investigations include the feasibility, practicality and success evaluation of prototype implementations. More generally, the PhD thesis is part of a large initiative 
- 
                
                
                interannual variability of spectral signatures in different bands (Planet, Sentinel-3, Sentinel-2, ECOSTRESS, Landsat, SMAP), which will be linked to LUE-WUE and gc information from multiple eddy covariance 
- 
                
                
                -friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance 
- 
                
                
                extracted from multi-spectral remote sensing products and dendrochronology data This position is part of the doctoral training unit FORFUS (https://www.list.lu/en/research/project/forfus ), associated with