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What we offer

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Calls for proposals

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.

See our open calls

Training

Check out the various programming and technology workshops we have on offer for researchers and research support staff.

See upcoming workshops

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.

Become a Fellow

News

Driving the Future of AI in Research: eScience Center Experts Selected for SCIANCE AI Working Groups

The Netherlands eScience Center is proud to contribute two members to the SCIANCE AI in Science Working Groups (AISWG). The aim of the working groups is to develop a…

Scientists launch open-access framework to rapidly evaluate next-generation climate models ahead of IPCC AR7

Press release cross-posted from the Coupled Model Intercomparision Project.

A new open-access tool that dramatically speeds up the evaluation of climate models has been…

From Speed to Structure: SwiftMHC Advances AI in Immunology

We are thrilled to announce that our SwiftMHC work, led by Dr. Li Xue’s Structural Bioinformatics Group in collaboration with the Netherlands eScience Center, has been accepted for…

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Blog posts

A holistic approach to professional technical digital research is possible

Research Software Engineers in the Age of GenAI: Same Value, Changing Practice

Co-Designing a Roadmap for Training on Research Software Templates and Code Auditing

Projects

Life Sciences

A Computational Answer to the Soaring MRI demand

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.

Social Sciences and Humanities

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.

Environment & Sustainability

Tipping of the Atlantic Ocean Circulation

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.

Natural Sciences & Engineering

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.

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Upcoming events

Research Software Support Training (RST-NL)
15 – 13 Oct 2026 Online Event
- Workshops
Introduction to Deep Learning
22 – 23 Sep 2026 Amsterdam
- Workshops
Parallel Programming in Python
13 – 14 Oct 2026 Amsterdam
- Workshops

See all events

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