Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Ghent University
- KU LEUVEN
- Nature Careers
- The Belgian Nuclear Research Centre
- VIB
- University of Antwerp
- Vrije Universiteit Brussel
- IMEC
- Bio Base Europe Pilot Plant
- Flanders Institute for Biotechnology
- Louvain Drug Research Institute - Université catholique de Louvain
- Université de Liège
- Vlaams Instituut voor de Zee
- Vrije Universiteit Brussel (VUB)
- 4 more »
- « less
-
Field
-
professional activities, I have gathered experience with machine/deep learning, and can demonstrate a strong affinity with these fields. Prior experience with reinforcement learning, multi-objective optimization
-
negatively impacting the growth performance by optimizing feed structure (particle size and distribution, and fiber fractions) of pigs and broiler diets. Furthermore, we aim to evaluate Near-Infrared
-
17 Jan 2026 Job Information Organisation/Company KU LEUVEN Research Field Chemistry » Inorganic chemistry Chemistry » Applied chemistry Chemistry » Other Engineering » Materials engineering Engineering » Nuclear engineering Researcher Profile First Stage Researcher (R1) Application Deadline 1...
-
constant intervention of an experienced operator/user. ISOL systems are complicated with many tens of parameters to tune beforehand and require experience and training to be able to do it optimally. Due
-
the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a design-technology co-optimization (DTCO
-
-topics/optimizing-dissolution-an… Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Skills/Qualifications The minimum diploma level of the candidate needs to be Master of
-
cytometry, including the design, optimization, and analysis of complex high-parameter panels. You will take a leading role in driving multiple projects and serve as a core resource for the team by supporting
-
* for combinatorial solving; some details can be found below. The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description and automatically compute
-
their chemical structure and composition through structure–processing–property correlation analysis and model-based optimization of processing parameters. Leveraging these methods, we will demonstrate
-
the analysis, design and optimization, resulting in a unique position in the field. The overall goal is to support more energy efficient systems in buildings and industry. With this, the research contributes in