Naast een wetenschappelijk semesterprogramma organiseert het CWI minisymposia, masterclasses, hackathons en data-challenges. Daarnaast hosten we reguliere wetenschappelijke bijeenkomsten zoals leesgroepen, seminars, samenwerkingssessies en open-probleemsessies. Dit vullen we in op een flexibele manier, waarbij we rekening houden met de voorkeuren van de deelnemers.
Evenementen
Een overzicht van komende en afgelopen CWI evenementen (Nederlands- en Engelstalig)
PhD Defence Arwin Gansekoele (ST)
The PhD Defence of Arwin Gansekoele will be on Wednesday 17 September 2025 at Vrije Universiteit Amsterdam on "Deep Learning for Nex-Generation Communication Technologies"
PhD Defence Robin Markwitz (ST)
The PhD Defence of Robin Markwitz will be on Friday 26 September 2025 at University of Twente on “Spatio-temporal point process models for interval-censored data”.
PhD Defence Etienne Pieter van de Bijl (ST)
The PhD Defence of Etienne Pieter van de Bijl will be on Thursday 2 October 2025 at Vrije Universiteit Amsterdam on "From Baselines to Breakthroughs: Fundamentals and Applications of Machine Learning in Cybersecurity"
Wetenschapsdag Amsterdam Science Park
CWI doet mee aan de Amsterdam Science Park wetenschapsdag tijdens het weekend van de wetenschap. Op zaterdag 4 oktober 2025 is het gebouw geopend van 12.00 - 17.00 voor alle belangstellenden.
Satellite workshop 1: Learning augmented algorithms
This workshop is part of the broader CWI research semester programme on learning enhanced optimization, contributing to its overarching mission of advancing cutting-edge research in theoretical computer science, operations research and beyond.
PhD defence Garazi Muguruza Lasa (A&C / QuSoft)
PhD defence of Sophie Klumper (Networks and Optimization)
The GAP and the gain: Improving the approximate mechanism design frontier in constrained environments
Scientific Machine Learning and Numerical Methods – Autumn School
This Autumn School 2025 is part of the Research Semester Programme "Bridging Numerical Analysis and Scientific Machine Learning: Advances and Applications." Over the course of five days, five lecturers will provide preparatory PhD-level instruction through a combination of lectures and interactive sessions.
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