Past events
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18 Nov08:32
Computational tools for Regenerative Medicine
Dr. Aurélie Carlier from the MERLN Institute for Technology-Inspired Regenerative Medicine at Maastricht University will give an overview of some numerical modeling and simulation tools that can help to design advanced microfluidic platforms, understand cell-biomaterial interactions, mine high...
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09 Sep 11 Sep
Brightlands Rolduc Polymer Conference
This year AMIBM's ABC conference will be integrated with Brightlands Rolduc Polymer Conference. This event will bring together people from the business as well as academics and students to meet one another and share the latest insights in the field of polymers.
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07 Sep21:15 - 21:45
Artificial intelligence for ancient games
Cameron Browne will explain how he is applying modern AI techniques to the problem of reconstructing ancient games.
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07 Sep21:00 - 21:30
Can you trust a food label?
Why can some products claim they are good for you, or that you stay healthy by eating them?
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07 Sep19:45 - 20:15
Artificial intelligence for ancient games
Cameron Browne will explain how he is applying modern AI techniques to the problem of reconstructing ancient games.
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07 Sep19:00 - 23:00
Robots in action
The Department of Data Science and Knowledge Engineering will give various demonstrations to show you how robots analyse the world around them.
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06 Sep19:00 - 23:00
Robots in action
The Department of Data Science and Knowledge Engineering will give various demonstrations to show you how robots analyse the world around them.
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02 Jul16:30 - 18:00
PhD projects of the MSBF
This edition of the Maastricht Systems Biology Forum is focused on PhD projects from some of the departments involved in this forum.
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28 Jun10:00 - 19:00
8th Belgian-Dutch Gravitational Waves Meeting
The event provides an opportunity for researchers in gravitational wave science to meet and update each other on the latest development in this exciting field.
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26 Jun 28 Jun08:30 - 17:45
12th Maastricht School on Data Science
This school is intended for four groups of data-science beginners: students, scientists, engineers, and experts in specific fields who need to apply data-science techniques to their scientific research, business management, or other related applications.