Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
structure and their growth by transmission electron microscopy (TEM) is hereby of crucial importance. During the PhD position, the candidate will use state-of-the-art equipment and local spectroscopic
-
23 Sep 2026 Job Information Organisation/Company KU LEUVEN Department faculty of engineering science Research Field Computer science » Computer systems Computer science » Database management
-
Application deadline: October 30, 2026 VIB-KU Leuven Center for Neuroscience is recruiting enthusiastic, creative, ambitious, and highly motivated PhD candidates to join us starting between May
-
Faculty/Department: Faculty of Arts, Translation, and Communication, Department of Information and Communication Sciences (ReSIC) Director : Laura Calabrese Promotor : Chelly Maes Title of the position: PhD
-
the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
-
) thinking, so that policymakers and other stakeholders not only take account of the ‘as is’ situation on the Flemish labour market, but also receive indications of future developments. This four-year PhD
-
19 Aug 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Electrical engineering Engineering » Electronic engineering Engineering » Computer engineering Computer
-
Programme? Not funded by a EU programme Reference Number BAP-2026-569 Is the Job related to staff position within a Research Infrastructure? No Offer Description In this PhD project we will study how a
-
the field of low-latency wireless embedded systems. The research of this PhD position will be conducted within the IDLab-UAntwerp research group. The successful candidate will join a diverse and international
-
for future transmission systems as systematic, scalable and routinely applicable as RMS-based studies are today. This PhD aims to develop the computational foundations for scalable, automated EMT-based