Sort by
Refine Your Search
-
) The Expertise Center for Phosphates (CEPH) collaborates with industry through a joint program focused on enhancing industrial performance and achieving operational excellence. By leveraging applied research and
-
CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
Biology, Data Science, Artificial Intelligence, or a related field with applications in healthcare and metabolomics. Strong experience in machine learning, deep learning, and AI frameworks (TensorFlow
-
and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising
-
Researcher (R3) Country Morocco Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
sustainable materials for advanced agronomic applications. These materials may include polymers, composites, or hybrid systems aimed at controlled-release fertilizers, biodegradable films, or environmentally
-
. The successful candidate will join the group of Prof. Youssef Iraqi. Context Wireless sensor networks (WSNs) and Internet-of-Things (IoT) are among the leading enabling technologies for smart systems
-
Morocco Application Deadline 16 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
Morocco Application Deadline 7 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
Researcher (R3) Country Morocco Application Deadline 7 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in