Master’s/Engineering Internship in World Models and Self-Supervised Learning for Tabular and Radiomics Data Université Côte d’Azur in France

This postdoctoral project is part of the collaborative Cone-Beam AI initiative linking Acteon , CREATIS , and the Institut de Mathématiques de Bordeaux (IMB) . The work is focused on improving the quality of dental cone-beam computed tomography (CBCT) for diagnosis while reducing the radiation dose delivered to patients. The recruited postdoc will develop new, more effective tomographic reconstruction algorithms, with a strong emphasis on machine learning and methods for solving inverse problems...

This postdoctoral project is hosted by ETIS at ENSEA and is part of the ANR PRC project Actionable XAI for Deep Learning Algorithms-AIDA (ANR-24-CE23-6509). The research focuses on counterfactual explanation methods for predictive tasks on multivariate time series , with applications including forecasting, anomaly detection, and survival analysis. The successful postdoc will work on developing and evaluating new explanation methods that make deep learning models more actionable and interpretable...

RWTH Aachen University is hiring a fully funded PhD candidate to work on differential privacy for medical deep learning. The research will address differential privacy, fairness, and medical foundation models, with access to substantial GPU resources and medical data. The position is relevant to candidates interested in machine learning, artificial intelligence, privacy-preserving AI, medical imaging, and reliable medical deep learning. Applicants should consult the official position page for el...

PhD opportunity in AI and medical ultrasound focused on SynthUS, a project developing robust ultrasound foundation models through differentiable domain randomisation. The research addresses the substantial variability of real-world medical ultrasound images, which presents a major challenge for AI-based analysis. The project will combine physics-based image simulation, generative AI, and differentiable learning to create models that generalise across imaging domains. The PhD researcher will inve...

Fully funded opportunity in physics-constrained generative AI modelling at École Nationale des Ponts et Chaussées (ENPC) and Université Paris-Saclay , France, with work in CEREA, ENPC / Institut Polytechnique de Paris in collaboration with LISN (ANR MilaDy Project). This post advertises a Master’s internship and a PhD position for candidates interested in computer science , physics , applied mathematics , and related areas. The research focus is on generative AI , machine learning , physical mod...