Archives : Events
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Events
Forum Z: Visualising history
En savoir plusA Forum Z on history paintings, 3D reconstructions, virtual worlds and time machines.
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Events
Sociological Aspects of Oral History in the Digital Age
En savoir plusLecture by Jakub Mlynář (Malach Center for Visual History, Charles University) followed by a workshop on sociological aspects of oral history.
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Events
The BicsLab Partners Day: ICT for a sustainable agriculture in Luxembourg
En savoir plusThe BicsLab Partners Day, the scientific forum to meet & match BicsLab partners and Uni.lu students.
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Events
UniGR Summer School on Verification Technology, Systems and Applications (VTSA 2019)
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Events
5th International Systems Biomedicine Symposium – Systems neuroscience: bridging the scales of the brain
En savoir plusThe “Systems Neuroscience: bridging the scales of the brain” conference will bring together world-wide leading experts in neuroscience in an interdisciplinary framework to address the huge complexity of the human brain and to demonstrate how systematic approaches can be used to reveal disease mechanisms.
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Events
Public Lecture: « Tracing the invisible life in us and our planet: the world of microbes »
En savoir plusProf. Peer Bork from the European Molecular Biology Laboratory Heidelberg will present “Tracing the invisible life in us and on our planet: The world of microbes”
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Events
11th European CubeSat Symposium
En savoir plusThe 11th European CubeSat Symposium will take place from 11 to 13 September 2019 at the University of Luxembourg. Co-organised by the University of Luxembourg and the von Karman Institute for Fluid Dynamics with the support of the Luxembourg Space Agency, the symposium will provide a snapshot of the most relevant topics in the CubeSat…
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Events
Workshop : NVIDIA DLI Fundamentals of Deep Learning for Computer Vision
En savoir plusPlease book online hereBooking deadline: Friday 26 April 2019This full-day hands-on Deep Learning fundamentals workshop is part of NVIDIA’s Deep Learning Institute. In this course, you will learn the basics of deep learning by training and deploying neural networks.
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Events
Research Seminar: Models and Exact Algorithms for Solving Real-World Scheduling Problems. The CP Optimizer approach
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