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1451.
FORFUS
Date: 20-09-24
Score: 0,16
Percental score: 3
Doctoral training unit on the effects of multiple stressors on forest function
1452.
Le Gender Game, un jeu qui défie les stéréotypes
Date: 03-06-24
Score: 0,16
Percental score: 3
Le Gender Game (GG), un outil pédagogique pionnier conçu pour sensibiliser aux stéréotypes de genre et promouvoir les sciences sociales, est en pleine mutation.
Soutenue par le Luxembourg Institute
1453.
KI-Sandkasten
Date: 27-03-24
Score: 0,16
Percental score: 3
Künstliche Intelligenz (KI) stellt Wirtschaft, Industrie und Gesellschaft vor etliche Herausforderungen. Das Luxembourg Institute of Science and Technology (LIST) hat sich demnach vorgenommen, die
1454.
From spin-off to technology platform: the MPG story
Date: 23-04-20
Score: 0,16
Percental score: 3
Take a completely unique molecular plasma technology and combine it with a visionary team that is not afraid to change direction and think outside of the box. Place them in a nurturing national
1457.
How RegTech can help regulation challenges
Date: 28-06-16
Score: 0,16
Percental score: 3
Increasing levels of regulation, combined with a greater focus on data and reporting standards, are now spearheading the development of RegTech - the use of technology to address regulatory
1458.
Reifenallianz
Date: 18-11-16
Score: 0,16
Percental score: 3
Das Forschungszentrum von Goodyear in Colmar-Berg und das Luxembourg Institute of Science and Technology (List) wollen gemeinsam an Reifen arbeiten, für die weniger Material eingesetzt werden muss
1459.
Vous êtes les ambassadeurs de l'économie de la connaissance
Date: 04-02-15
Score: 0,16
Percental score: 3
La 30e édition de la Journée de l’Ingénieur Saar-Lor-Lux s’est déroulée le 18 octobre 2014 dans le nouveau quartier urbain de Belval, un des plus grands projets d’urbanisation d’Europe de l’Ouest. Ce
1460.
Dealing with High Dimensional Sequence Data in Manufacturing
Date: 28-12-23
Score: 0,15
Percental score: 3
Advanced manufacturing processes generate large number of parameters and sequences collected from multiple stages of the production pipeline. Consequently, the data dimension explodes due to the high