Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of robust artificial intelligence for industrial process optimisation. The research of this PhD position will
-
sustainable careers all highlight the active role individuals play in shaping their career trajectories. In reality, however, many workers face circumstances that complicate this process. Financial insecurity
-
for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
-
the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
-
-performance computing and parallel algorithms. Selection process Applicants should submit a CV, academic transcripts and a motivation letter through the KU Leuven application portal. In addition, candidates
-
into conversation with parallel research in Flanders, the project aims to develop a more plural and globally informed understanding of dialogue, highlighting how different religious, cultural, and historical
-
), designed to resonate near critical structural vibration modes. The resulting dynamic motion is expected to enhance particle activity, reduce jamming effects, and improve energy dissipation. In parallel
-
, or pharmaceutical research. However, for many real-world applications, finding a solution requires powerful computer clusters that consume a lot of energy and run for long periods. Our project aims to create a
-
scholarship will be renewed for an additional 3 years. In parallel, the applicant will be expected to actively seek independent funding and will be fully assisted in applying for personal fellowships
-
, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision