If you are a researcher employed at a Dutch university, UMC, or NWO/KNAW institute, you can apply to receive an in-kind investment of research software engineers to your research project.
Training
Check out the various programming and technology workshops we have on offer for researchers and research support staff.
Fellowship Programme
Do you have the ambition to promote or improve the use of research software within your organisation or field? Then apply to become a Fellow.
National Research Software Day 2025 was a big success, thanks to the professional organisation of the TU Delft and NL-RSE, and of course the funding by TU Delft, LCRDM and Open Science…
The steady growing demand for MRI scans is leading to unsustainable financial, human and operational costs, mainly caused by the typically long exam times. MR-STAT is a fundamentally new paradigm in MRI, which delivers multiple quantitative MR parameters in a single scan of just 5 minutes.
Processing archaeological sensor data from drones using machine learning
Archaeological remote sensing is of paramount importance to face challenges of climate change, agricultural intensification, and landscape development that are threatening buried archaeological remains. Drones using state-of-the-art sensor techniques strongly impact the possibilities of archaeologists by enabling them to trace ground and subsurface human activity in the past.
The Atlantic Ocean Circulation is sensitive to freshwater perturbations such as the meltwater from ice sheets. Under continuing greenhouse gas emissions, it may undergo a transition to a collapsed state within a few decades, with potentially large climate impacts. In the eTAOC project we will develop general software to determine the probability of these type of transitions using rare event algorithms.
Comprehensive, fast, user-friendly and thoroughly validated open-source energy system planning framework
The overall objective of Mopo is to develop a validated, user-friendly, feature-rich, innovative and well-performing energy system modelling toolset to serve public authorities, network operators, industry and academia to plan sustainable and resilient energy systems in a cost-effective manner.
