Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- University of Groningen
- European Space Agency
- Wageningen University and Research Center
- Delft University of Technology (TU Delft); Delft
- University of Twente
- University of Twente (UT)
- Leiden University
- Nature Careers
- Utrecht University
- Wageningen University & Research
- 1 more »
- « less
-
Field
-
within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
-
23 Aug 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biological engineering Biological sciences » Biology Physics
-
research engineer with a passion for innovation and strong inter-disciplinary skills; PhD degree in Instrument or Analytical Engineering, Mechanical Engineering, Biomedical Engineering, Systems Engineering
-
Your job Are you a biologist interested in architecture, design, and engineering? Or an engineer or designer interested in biology? Would you like to contribute to the design of sustainable
-
We focus on liver cancer and related disorders that predispose to liver cancer, with the overarching goal of understanding disease mechanisms and developing innovative therapeutic strategies. As
-
-mechanical side. Based on ongoing studies within the Section, you will detail the overall test bed architecture based upon engineering and high-fidelity tools. Existing tools within the Section will be used
-
allocation policies and task division policies can be designed to flexibly allocate teachers with different profiles to learning activities? c) what sharing mechanisms can be designed to enable cooperation
-
Postdoc in Stem Cell Technology and Biofabrication Faculty: Faculty of Veterinary Medicine Department: Department Clinical Sciences Hours per week: 36 to 40 Application deadline: 1 August 2025
-
methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
-
methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and