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to benchmark ligand dissociation energies is key to improving computational models and enhancing catalytic efficiency. This PhD project aims to provide fundamental insights into ligand dissociation and catalytic
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coding these weights and thus provide a 'neuro-computational' model of human choices updated with invasive electrophysiology and stimulation data. We will focus on a prefronto-insular- circuit as the team
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coding these weights and thus provide a 'neuro-computational' model of human choices updated with invasive electrophysiology and stimulation data. We will focus on a prefronto-insular- circuit as the team
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coding these weights and thus provide a 'neuro-computational' model of human choices updated with invasive electrophysiology and stimulation data. We will focus on a prefronto-insular- circuit as the team
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to investigate ecological interactions. • Statistical models: Use GLMMs and null models to assess environmental and temporal effects on microbial and dietary communities. • Identify key species
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, Dr. Ipek YALCIN's laboratory, where this PhD project will primarily take place, has developed a murine model of neuropathic pain that induces an anxious-depressive phenotype. The laboratory has also
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students. It was heavily involved in various aspects of the experiment: analysis of the data collected by the prototype at CERN (ProtoDUNE), simulations and optimization of the neutrino event reconstruction
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
applications. The classical “Forecast then Optimise” approach may involve a complex model chain of multiple models that one has to tune and maintain. For example, when trading the production of a virtual power
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(LLR), which is made up of approximately 30 members working on Higgs boson physics, standard model physics, and beyond. Members of the group are also involved in the operation of the detector and on
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, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the immunological dysregulation inherent in T1D. Project Objective The PhD candidate will primarily focus on the clinical