Organisation : Faculté des Sciences, des Technologies et de Médecine (FSTM)

  • Events

    Physics Colloquium : « Magnetic Chirality », Talk by Professor Sang-Wook Cheong, Rutgers University

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  • Events

    Physics Colloquium:Large-scale machine-learning assisted discovery and characterization of materials

    Physics ColloquiumWednesday, May 3rd 2023at 1:00 pmlunch at 12 pmCampus LimpertsbergBâtiment des Sciences, Room BS 0.03Talk by Professor. Dr. Miguel MarquesMartin Luther University Halle-Wittenberg, GermanyLarge-scale machine-learning assisted discovery and characterization of materialsAbstract:In this talk we discuss our recent attempts to discover, characterize, and understand inorganic compounds using ab initio approaches accelerated by machine learning. We…

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  • Events

    PhD Defense: Age- and sex-specific transcriptome changes in the midbrain of Park7 depleted mice

    Supervisor: Lasse SINKKONEN

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    PhD Defense: Hybrid LCA-ABM of dairy farming systems including nonlinear optimization under environmental, technical and economic constraints

    Supervisor: Antonino MARVUGLIA

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    PhD Defense: The Oral Microbiome in the scope of Early Life Adversity

    Supervisor: Jonathan TURNER

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    PhD Defense: Measured foliations at infinity and CMC surfaces in quasi-Fuchsian manifolds

    Supervisor: Jean-Marc SCHLENKER

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  • Events

    Toposes as ‘bridges’ for mathematics and artificial intelligence

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  • Events

    MATh.en.JEANS

    The MATh.en.JEANS @Uni.lu 2023, a one-day event for high school students who are interested in exploring mathematics beyond the classroom. On May 10, 2023, students will have the opportunity to gather in Belval and present their MATh.en.JEANS research projects to their peers and participate in interactive math activities such as quizzes and games.MATh.en.JEANS is a…

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  • Events

    Machine Learning Seminar meeting: Variational Formulations for Solving PDEs with Non-Smooth Solutions using Non-Linear Surrogates: An Innovative Approach

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  • Events

    Machine Learning Seminar meeting: Learning scientific simulations with aggregation and attention-based neural networks

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