Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- European Space Agency
- Utrecht University
- University of Twente
- Delft University of Technology (TU Delft)
- Wageningen University and Research Center
- CWI
- Delft University of Technology (TU Delft); Delft
- Leiden University
- Erasmus University Rotterdam
- Radboud University
- University of Twente (UT)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- KNAW
- Nature Careers
- Radboud University; Nijmegen
- Universiteit van Amsterdam
- 9 more »
- « less
-
Field
-
-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded
-
employment conditions reflect this. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able
-
of Economics also has offices in The Hague. Working for Leiden Law School means working in a welcoming and inspiring academic environment. Terms & conditions We offer a full-time position (38 hours per week
-
candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
-
candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
-
, the following is required: PhD in high-speed aerodynamics, turbulence, transition and combustion modelling, or another relevant aerospace engineering discipline. Additional requirements In addition to your CV and
-
. The DELPHI project, a collaboration between UMCG, UG, Health-Ecore and Protyton, aims to advance lung cancer treatment using molecular modeling and computational analysis for personalised care. DELPHI seeks
-
sustainable way of dealing with their health conditions. The technical challenge within this project lies in the huge variance of the data. Furthermore, the app needs to be able to work with sparse incomplete
-
research team to develop strategies and business models that are regenerative, profitable and scalable. You are based in both the RSM Finance Department and at the Animal Production Systems group
-
excellent training opportunities. We offer a unique position in an international environment with a pleasant and open working atmosphere. You are going to work at the greenest and most innovative campus in