Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Radboud University
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Maastricht University (UM)
- Amsterdam UMC
- University of Groningen
- Radboud University Medical Center (Radboudumc)
- University of Twente
- Leiden University
- University of Twente (UT)
- University Medical Center Utrecht (UMC Utrecht)
- Centrum Wiskunde en Informatica (CWI)
- Erasmus MC (University Medical Center Rotterdam)
- Hotelschool The Hague
- KNAW
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- AMOLF
- ARCNL
- Amsterdam UMC, location VUmc
- Erasmus University Rotterdam
- Fryske Akademy
- HFML-FELIX
- Naturalis
- Sanquin Blood Supply Foundation (Sanquin)
- TU Delft
- The Open Universiteit (OU)
- University Medical Center Groningen
- University Medical Centre Groningen (UMCG)
- 23 more »
- « less
-
Field
-
vacation pay of 8%. High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An
-
, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, on-campus children's day care and sports facilities. Unlimited
-
of your own learning process . An excellent technical infrastructure, on-campus children's day care and sports facilities. Unlimited access to the modern on‑campus TU/e Student Sports Center at an
-
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
-
in laboratory work and materials characterization techniques (e.g. SEM, ICP-MS) Basic knowledge of thermodynamic modelling or willingness to learn tools such as FACTSage Analytical mindset with strong
-
combining analytical and numerical approaches to model realistic quantum experiments and appreciate how the two complement one another. You are eager to learn new techniques and explore unfamiliar ideas
-
. We work on education and research in mechanical engineering, civil engineering and industrial design engineering. Together, we learn by making, creating, and innovating, addressing challenges in a
-
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
-
, pandas, scikit-learn, TensorFlow/PyTorch, or equivalent) is a strong advantage Experience with high-throughput molecular assays, particularly next-generation sequencing (NGS) data generation and/or
-
supervisors will be Dr Catrien Notermans, Dr Sonja Marzi, Dr Elke Linders. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD