Sort by
Refine Your Search
-
of chemically storing and releasing hydrogen, using methanol as a reservoir. Main activities: • Utilize global optimization codes and perform DFT calculations on supercomputers. • Analyze results and
-
and optimization of metasurfaces exhibiting tailored spectral responses at selected near-infrared wavelengths • Development of angularly robust optical functionalities over wide ranges of incidence
-
of electrochemical reactions carried out under strong, controlled magnetic fields. Part of the work will involve establishing an in-situ characterisation method, supplemented by research into optimal experimental
-
validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
-
foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on Neural Networks (pytorch), 3) problem solving skills, 4) familiarity
-
of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
-
dislocation dynamics (DDD) code from TRIDIS, NUMODIS, or OpenDIS, based on the candidate's programming skills (Fortran, C++, or C). - Validate the DDD-FFT coupling required to optimize calculations
-
collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
-
and optimization of metasurfaces exhibiting tailored spectral responses at selected near-infrared wavelengths • Development of angularly robust optical functionalities over wide ranges of incidence
-
improved in several stages and continues to evolve. It will therefore be a question of carrying out the necessary technical upgrades and optimizing (fine-tuning) the different characterizations on reference