Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- European Space Agency
- University of Amsterdam (UvA)
- University of Twente
- Leiden University
- Maastricht University (UM)
- University of Twente (UT)
- AMOLF
- DIFFER
- Holomicrobiome Institute
- KNAW
- Radboud University
- SURF
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Wetsus - European centre of excellence for sustainable water technology
- 8 more »
- « less
-
Field
-
a tool for mechanistic studies and preclinical therapeutic testing. PhD Project 2. Engineering Multicellular 3D In Vitro Models to Elucidate Bone Regeneration Mechanisms Large bone defects and non
-
that requires tightly integrated approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models, with emphasis
-
for interdependent or co-evolving telecom and urban infrastructures driven by real-world data, surpassing state-of-the-art synthetic models; collecting and integrating diverse datasets, including entity matching; and
-
interaction research, and contribute to long-term lab resilience. You will collaborate closely with academic staff, technicians, and researchers from Mechanical Engineering (ME), Industrial Design Engineering
-
on correlation-based machine learning. When an agricultural system fails due to compounding climate extremes - like a simultaneous heatwave, drought, and ozone pollution spike - standard models can forecast the
-
10 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Application Deadline 31 May
-
campus data into shared foundations for advanced analyticsand data-driven decision-making at TU/e. That is why we are looking for a Senior Full-StackData Engineer to join us on this journey. Your role As
-
PhD Position in Statistical Physics & Data-Driven Viral Evolution Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 23 April 2026 Apply
-
to shape how humans and AI interact in high-stakes contexts. You will help define how AI can support—not replace—human judgment, ensuring that technology empowers rather than undermines trust and autonomy
-
cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you might be our next PhD