Sort by
Refine Your Search
-
multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed on language-agnostic modalities, including images and
-
multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
-
approaches to transform unstructured bug reports into actionable insights that connect to code, support diagnosis, and improve the speed and quality of fixes. Application areas include developer tooling
-
dynamics and biomolecular condensates contribute to PD co-pathologies in human midbrain assembloid models. The work combines advanced imaging, molecular biology, and functional disease modeling. Key
-
candidate will work on Bug Report Intelligence for the Generative AI Era (BRIDGE) - exploring approaches to transform unstructured bug reports into actionable insights that connect to code, support diagnosis
-
ML frameworks like PyTorch/JAX Genuine interest in MLFFs, simulation methods, and foundational ML research Desired skills: Experience with atomistic simulation codes: ASE, FHI-aims, VASP, CP2K
-
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
-
machine-learning interatomic potentials • Experience with UFPs • Experience with molecular dynamics, ideally with LAMMPS • Contributions to a public code repository Your LIST benefits An organization with a
-
SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
: • Experience developing machine-learning interatomic potentials • Experience with UFPs • Experience with molecular dynamics, ideally with LAMMPS • Contributions to a public code repository Your LIST benefits
-
and TechnologyCountryLuxembourgCityluxembourgGeofield Contact City Esch-Belval Website http://www.list.lu/ Street 5, avenue des Hauts-Fourneaux Postal Code L-4362 E-Mail jobs@list.lu STATUS: EXPIRED X