Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Ghent University
- KU LEUVEN
- University of Antwerp
- Nature Careers
- VIB
- Vrije Universiteit Brussel
- Université catholique de Louvain
- Vrije Universiteit Brussel (VUB)
- IMEC
- Flanders Institute for Biotechnology
- KU Leuven
- University of Liège
- University of Namur
- Université catholique de Louvain (UCL)
- 4 more »
- « less
-
Field
-
12 Nov 2025 Job Information Organisation/Company Vrije Universiteit Brussel (VUB) Research Field Computer science » Other Engineering » Computer engineering Engineering » Electrical engineering
-
that combines machine learning and knowledge-based inference. In real-world applications, it is often paramount to exploit expert knowledge for the task at hand. However, this poses significant challenges with
-
for these radically different artefacts. Three objectives will be the determination of date, provenance, and production chain of both artefacts by experimental techniques combined with automated machine learning
-
extraction to support discovery. Collaborate with researchers to identify opportunities where generative AI and LLMs can accelerate scientific progress. Work with the Head of the Machine Learning Expertise
-
. ASSIGNMENT Academic education You lecture various course units in the discipline of bioinformatics, data analysis of large-scale (bio)medical data, applications of artificial intelligence and machine learning
-
for environmental epidemiology (Epi, survival, sf, gstat, mgcv) and causal inference (dagitty, MatchIt), as well as contributing to reproducible, scalable data pipelines. Machine learning integration: Exploring ML
-
24 Sep 2025 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Digital systems Computer science » Computer architecture Computer science » Programming Engineering
-
knowledge of English. • Basic computer skills (word processing, spreadsheets, inventory systems). • Strong communication, proactive attitude, and attention to detail. • Willingness to learn new techniques and
-
and practical experience with modeling and machine learning software NONMEM, Monolix, Simcyp, PK-Sim, Gastroplus, R and/or Python is a plus You have excellent teaching and communication skills Any
-
bipedal robot that will learn to walk on soft and natural ground, such as sand and gravel. The controller design will include knowledge of the type of ground the robot walks over, and how the substrate