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both theoretical and experimental approaches. PhD Project Objective This project proposes a theoretical and experimental approach to understand and control charge storage mechanisms in MnO₂ in an ionic
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electric spin control and long spin coherence properties. In the past we have confirmed the magnetoelectric couplings in these molecules using EPR spectroscopy under electric fields, and we recently
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Simulation and Physics of Drosophila Larva Body Dynamics Introduction The “STRETCHED” project aims to develop a robust, physics-based 3D simulation platform to replicate the motor control dynamics
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are prevalent in both type 1 and type 2 diabetes and are associated with poor glycemic control and increased risk of complications. The Deep Digital Phenotyping (DDP) Lab is pioneering a new generation of digital
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ecology, advanced biostatistics and data analyses and help to contribute with new knowledge to evolutionary theory. Introduction At the Ecosens department of iEES-Paris we investigate how insects perceive
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collected during LHC runs 2 and 3 will be used for this analysis. The measurements will be interpreted in the context of an effective field theory (EFT). In parallel to this work, the candidate will be
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Fluency in English, along with a good command of either German or French is required. Knowledge of Luxembourgish is considered an asset We offer Multilingual and international character. Modern institution
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chemistry software (e.g., Gaussian, Dalton, TurboMole) is highly desirable. Background in Density Functional Theory (DFT) and Time-Dependent Density Functional Theory (TD-DFT) are desirable assets. Strong
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drug-resistant neuropsychiatric illnesses. The theoretical foundations of this project are inspired by decision theory, which describes human behavior as a cost/benefit calculation based on a set of
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drug-resistant neuropsychiatric illnesses. The theoretical foundations of this project are inspired by decision theory, which describes human behavior as a cost/benefit calculation based on a set of