Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Leiden University
- Delft University of Technology (TU Delft)
- University of Groningen
- Maastricht University (UM)
- Radboud University
- University of Amsterdam (UvA)
- Wageningen University & Research
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Wageningen University and Research Center
- Delft University of Technology (TU Delft); yesterday published
- Leiden University; Leiden
- Tilburg University
- University of Amsterdam (UvA); Amsterdam
- Erasmus MC (University Medical Center Rotterdam)
- AMOLF
- Delft University of Technology (TU Delft); today published
- Leiden University; today published
- Maastricht University (UM); Maastricht
- Maastricht University (UM); yesterday published
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA); yesterday published
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- Amsterdam UMC
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; yesterday published
- Maastricht University (UM); 3 Oct ’25 published
- Nature Careers
- Radboud University Medical Center (Radboudumc)
- Radix Trading LLC
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit van Amsterdam
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Amsterdam (UvA); today published
- University of Twente
- University of Twente (UT); Enschede
- Wetsus - European centre of excellence for sustainable water technology
- 30 more »
- « less
-
Field
-
resilient: you are comfortable handling complex data and working in a demanding environment. Experience with statistical software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology
-
Engine. Demonstrable experimental and analytical skills, including designing and conducting studies, programming (e.g., Python, C#), and statistical analysis. Proficiency in both qualitative and
-
specifically in your application, as they can be of value in the selection process: Knowledge of Python / R programming and/or other evidence of data science skills. Evidence of prior research work, exemplified
-
or biophysics, quantitative image analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under
-
, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
-
(for example in Python or C++); communicate clearly in English; and enjoy working in a collaborative research environment. It is a plus, not a requirement, if you are already familiar with cosmological or N‑body
-
of core web technologies. You have solid experience in Python and JavaScript programming languages. You preferably have experience with building and using machine learning models. You care deeply about
-
, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
-
knowledge or hands-on experience with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are
-
., Python, MATLAB) for data analysis and model development. Willingness and ability to conduct cadaveric dissection studies. Excellent organizational and communication skills, essential for managing large