Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Radboud University
- University of Amsterdam (UvA)
- Utrecht University
- Erasmus University Rotterdam
- University of Twente
- ;
- European Space Agency
- Radboud University Medical Center (Radboudumc)
- Universiteit van Amsterdam
- Amsterdam UMC
- Eindhoven University of Technology (TU/e)
- Leiden University
- Maastricht University (UM)
- Naturalis
- Nature Careers
- Qutech
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Wageningen University and Research Center
- 12 more »
- « less
-
Field
-
quantitative skills and data analysis. You have experience in programming (e.g. in Matlab, Python, or other languages). You have experience with animal handling and behaviour, and are preferable in possession
-
online via the button below. We accept applications until and including June 2, 2025. If you have any questions or do you require additional information? Please contact: Maximilian Engel, m.r.engel@uva.nl
-
modelling, wavefront shaping, and machine learning algorithms. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before 15 June
-
available at the Advanced Production Engineering (APE) research group, Engineering and Technology Institute Groningen (ENTEG), Faculty of Science and Engineering. For more information about the APE group
-
research team is a diverse team of international enthusiast scientists interested in gas detection for different applications. Research in the Trace Detection Laboratory(link is external) focuses
-
. Research at the Trace Detection Laboratory(link is external) focuses on the detection of species in trace levels with a high emphasis on the gas phase. For this, we develop new laser-based spectroscopic
-
’ sending and receiving regions. It uses big data and agent-based modelling to analyse the impact of those changing patterns of spatial mobility on EU regions and envisage policies to counterbalance
-
‘RobotLab’, large numbers of experiments can be carried out, yielding large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems
-
collected across Europe to accelerate species monitoring and integrate biodiversity data. Existing pipelines for species identification are standardized and linked to reference databases. Best practices
-
. Successful candidates will actively contribute to the study of neurological data within complete social networks, linking neural profiles to various social network processes such as similarity selection and