Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Radboud University Medical Center (Radboudumc)
- University of Twente (UT)
- Erasmus Universiteit Rotterdam (EUR)
- Erasmus University Rotterdam
- European Space Agency
- Leiden University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Amsterdam (UvA)
- Utrecht University
- Wageningen University & Research
- 2 more »
- « less
-
Field
-
October 2026 Apply now Do you want to use artificial intelligence, geospatial data science, and urban analytics to create healthier and more equitable cities? Are you excited about developing innovative AI
-
LinkedIn Logo Instagram Logo Manage cookie settings We collect and process your personal information for the following purposes: Functional, Analytics, Advertising. Accept Decline Learn more
-
Are you interested in (re)entering biotech research? This position supports a non-linear career path with a focus on implementing process analytical technology into bioprocesses. Job description
-
. Scientifically, you will: propose and conduct original research on the mathematical foundations of deep learning, developing novel theoretical frameworks, models and analytical tools to advance the understanding
-
, or (applied) physics. Excellent lab-experiences Advanced mathematical, analytical skills, and programming skills, e.g., in Python. A keen interest in interdisciplinary research. An excellent command of English
-
packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
-
, epidemiology, and public health analytics. This position is embedded in TIMERA : Training Initiative for Modeling Epidemic Response in Africa, a Global Health EDCTP3-funded project on epidemic preparedness and
-
subject, such as aerospace engineering, aeronatucial engineering, atmospheric sciences, or (applied) physics. Excellent lab-experiences Advanced mathematical, analytical skills, and programming skills, e.g
-
imaging. Strong experience with in vivo head-fixed rodent experimentation. Experience with rodent behavioural training and quantitative behavioural analysis. Excellent analytical and programming skills
-
cardiovascular care. Within the consortium, TU Delft contributes expertise in cardiac mechanics, soft tissue modeling, growth and remodeling, machine learning, and uncertainty-aware model personalization. As a