Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
staff position within a Research Infrastructure? No Offer Description You will conduct an academic research project and write a PhD thesis on career decision-making frictions, under supervision of Prof
-
Description KU Leuven seeks a highly motivated PhD candidate for a fully funded, international doctoral position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project MicroMan4Health (Website
-
? Horizon Europe - MSCA Reference Number BAP-2026-345 Is the Job related to staff position within a Research Infrastructure? No Offer Description KU Leuven seeks a highly motivated PhD candidate for a fully
-
)uptake of physical activity often fails to materialize, illustrating that current (p)rehabilitation strategies do not effectively promote physical activity. Nevertheless, sufficient physical activity is
-
/phd ). Selection process For more information please contact Prof. dr. Sarah Vansteenkiste and Prof. Dr. Kristof De Witte, Professors at KU Leuven. All applications have to go via the official KU Leuven
-
production.The PhD position in The SySi Team will focus on the integrated steam system design and control in a multi-energy vector context, using physics-based non-linear Model Predictive Control (MPC
-
their physical efficiency through training, this project aims to develop software methods that allow deployed neural networks to progressively reduce their resource footprint while maintaining application
-
healthy populations and controlled environments, with a strong focus on classification accuracy rather than clinical applicability, uncertainty estimation, and behavioral interpretability. This PhD project
-
PhDs form the scientific/technological backbone, jointly addressing microbial contamination and physicochemical variability as interconnected drivers of quality loss. PhD1 (KU Leuven - UNIMUS
-
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