Sort by
Refine Your Search
-
Category
-
Employer
- Eindhoven University of Technology (TU/e)
- Radboud University
- Wageningen University & Research
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- Amsterdam UMC
- Leiden University
- Erasmus MC (University Medical Center Rotterdam)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University Medical Center Utrecht (UMC Utrecht)
- University of Groningen
- University of Twente (UT)
- AMOLF
- ARCNL
- Amsterdam UMC, location VUmc
- Centrum Wiskunde en Informatica (CWI)
- Erasmus University Rotterdam
- Fryske Akademy
- HFML-FELIX
- Hotelschool The Hague
- TU Delft
- Tilburg University
- University Medical Center Groningen
- University Medical Centre Groningen (UMCG)
- 18 more »
- « less
-
Field
-
related field; has strong affinity with the study of socio-economic and ethnic inequality; has experience with advanced quantitative methods (or is motivated to learn); ideally has experience with large
-
you already work at Radboud University and have questions about making an internal move? Learn more about internal applications . Website for additional job details https://www.academictransfer.com
-
non-scientific position with a non-EU nationality, please take notice of the following information . Do you already work at Radboud University and have questions about making an internal move? Learn
-
care come together. Interested? Would you like to learn more about this position or what it is like to work at Maastricht University? Please submit your CV, motivation letter, grade transcript, and the
-
PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional
-
-sector partners; able to work both independently and collaboratively; eager to learn new methods and broaden your research expertise; motivated to publish in leading international scientific journals and
-
are the same. You will have the opportunity to share your ideas, develop yourself professionally, and acquire new skills. Innovation and collaboration are at the heart of our work. You will be part of
-
. Collaboration, good time management and organizational skills are vital for properly balancing a PhD project. Additionally, adaptability and a proactive learning attitude are key to successfully completing a PhD
-
using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch
-
, clinical data and AI-driven modelling for cancer research! In this role, you will bridge the gap between machine learning, computational biology, and haematological oncology. You do not need to arrive as an