Sort by
Refine Your Search
-
insufficiently understood from a mechanistic and modelling perspective. This PhD project aims to develop innovative mathematical and computational models that describe how trees exchange carbon, water and
-
We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
-
2027 - 01:44 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
-
safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based
-
research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural Networks for MLFFs Implement and test uncertainty-aware
-
We are seeking a highly motivated PhD candidate to join the IAS Audacity project AI4TECS, which investigates how advanced AI techniques can enable real‑time identification and treatment of emerging
-
, Financial Technology (Fintech), Energy Informatics, Energy Economics, and Consumer & Behavioural Research. In particular, they will be integrated into a larger research team and collaborate with team members
-
We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
-
& Applications. This industrial PhD position is part of the “Autonomous Systems for Land, Air and Space” (ATLAS) IPBG Programme co-funded by the FNR, SnT, and a consortium of industrial partners and
-
! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods