Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work
-
Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
multiple functions (e.g. thermal, barrier and couplings…) and thus the properties of use. Representation and digital mechanics tools will be used to solve the various digital cases. The project could draw
-
an integrative approach that combines advanced multiomics, spatial transcriptomics, and structural biology with physiological assessments. By selectively perturbing key gene expression programs during homeostasis
-
mathematics for Grade 1 in the frame of the Luxembourgish School Monitoring Programme - Épreuves Standardisées (ÉpStan). At LUCET, you will work in a collaborative and research-driven environment, contributing
-
the value of each client's dataset [20-22]. These issues are highly relevant in the developing data economy where multiple online data exchange platforms, such as AWS data exchange [23] and Dawex [24
-
experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown