Sort by
Refine Your Search
-
Category
-
Field
-
(preferably) in Computer Science, Electrical Engineering, or a related field. You have a strong background or interest in one or more of the following areas: computer vision, machine learning, signal processing
-
consistency outside the training domain. This PhD research is envisioned to result in a breakthrough in the application of machine learning methods to fire engineering problems, by ensuring compatibility with
-
-guided machine learning. You are quick to assimilate information and capable of independent research. Experience in the pharmaceutical sector is an advantage You speak and write English fluently. You are
-
engineering Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 31 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU
-
to that present in the LMC is recommended, e.g. on AI/Machine learning in drug design, assay development, bioconjugate chemistry, fragment-based discovery, DNA-Encoded Libraries (DEL), sustainability aspects, etc
-
concepts such as digital twins, learning from human interactions. In the domain of efficiency and sustainability, projects relate to a.o. the development of novel electrical machines, engineering of
-
strong background or interest in one or more of the following areas: computer vision, machine learning, signal processing, and computer graphics. You have good programming skills (e.g., Python, C
-
physical principles into the learning process to maintain physical consistency outside the training domain. This PhD research is envisioned to result in a breakthrough in the application of machine learning
-
(4 years), likely in cooperation with external partners (academic and/or industrial). You work on AI (i.e., analytics, modeling, machine learning) for energy applications, mostly focusing on
-
function return values should be checked, etc.), or they are too slow & memory-intensive to be used by developers on their own machine during development. In this research, you will research techniques