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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. It is a strategic objective of the University
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
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p x∈R y∈Rp where F is the outer objective and f is the inner objective. Solving such problems is challenging due to the need to compute gradients through
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
its throughput, with the objective of building a novel pipeline suitable for the preclinical evaluation of candidate vaccines. The project will be carried out in close collaboration with the team
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revisiting the study of these latent variable models with a Bayesian point of view and to understand how this evidence lower bound integrate implicit priors on the latent variables. Having a clear
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selection criterion in some extent. This strongly suggests revisiting the study of these latent variable models with a Bayesian point of view and to understand how this evidence lower bound integrate implicit
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data to refine objective measures of neural function and improve clinical strategies for hearing aid optimization in this population. References: [1] A. Starr, T. W. Picton, Y. Sininger, L. J. Hood, and
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developments and numerical calculations, especially for objects containing hundreds or thousands of particles. In those cases, it may be convenient to separate the system into several subsystems, some of which
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Stochastic processes ODE/PDE modeling Control theory This theoretical expertise must be paired with a demonstrated interest and track record in biological applications, particularly in areas such as gene
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, videoconferences) for the Enlight network and international programs • Facilitating the reception of foreign research interns TEACHING PROJECT The training-research articulation has two objectives: Content