Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Ghent University
- KU LEUVEN
- University of Antwerp
- Nature Careers
- Vrije Universiteit Brussel (VUB)
- Hasselt University
- VIB
- Bio Base Europe Pilot Plant
- Hewlett Packard Enterprise
- KU Leuven
- King's College London
- UNamur - Lab of F. De Laender
- Université catholique de Louvain
- Université de Liège
- 4 more »
- « less
-
Field
-
of analytical chemistry and machine learning. For more information please contact Prof. dr. Deirdre Cabooter, mail: deirdre.cabooter@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite
-
Engineering » Computer engineering Engineering » Control engineering Engineering » Industrial engineering Engineering » Systems engineering Chemistry » Analytical chemistry Agricultural sciences » Agronomics
-
quantitative and analytical skills. Experience with programming and data analysis (preferably in R; experience with Python, Julia, Matlab, or similar is also valuable). Experience in using AI to operate said
-
an analytical-computational framework for a “living” 4D Digital Twin (3D + time) to enable automated progress monitoring and multi-domain safety assessment in civil engineering applications. The project focuses
-
role as a researcher in the context of co-creation with young people. You possess strong problem-solving and analytical skills with a research-oriented mindset. You can take initiative and excel both
-
fully funded PhD position in mathematical logic and analytic combinatorics, focusing on phase transitions and logical limit laws via analytical combinatorics. The position is funded through a Senior
-
particular the research lines of Professors Seppe vanden Broucke (e.g., applications of deep learning, graph learning, geospatial analytics, process mining), Frederik Gailly (e.g., ontologies, knowledge graphs
-
highly motivated, curious, and eager to develop new experimental and analytical skills. You are able to work both independently and collaboratively within an interdisciplinary research environment. You
-
mechanisms for distributed learning, real-time analytics, and AI-driven decision-making across heterogeneous environments (edge-cloud), contributing to the realization of intelligent and self-optimizing 6G
-
)palaeontology, which will constitute a rich and exciting working environment for the successful candidate. https://www.ugent.be/we/geologie/en/research/organization/palaeontology-and-palaeo-environments https