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on polariton quantum fluids. Design and theoretical modelling of nonlinear polariton networks for quantum sensing — Main duty / High level of responsibility Experimental implementation and optical
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, directed by Prof. Marc-Emmanuel Dumas in Lille, France. The successful candidate will be responsible for developing and implementing innovative chemoinformatic and chemometric workflows for high
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magnetic field, for the characterization and processing of metals and alloys at high temperatures. Characterisation of metals in liquid state and study of liquid-solid transformation are essential for
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on mass spectrometry or electric current detection. Despite their high sensitivity, these methods remain limited to specific polymers and a low level of parallelization. Our project aims to explore a
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Peening (LSP) techniques are used to introduce high levels of residual stress into a metal part in a controlled manner. In this process, a high-energy, short-duration laser pulse is focused on the surface
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produced via gas-phase synthesis in an ultra-high vacuum device. A comprehensive structural characterization of the NPs will be carried out using advanced electron microscopy techniques. High
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transformer architectures (BERT/RoBERTa, SBERT, generative language models) or on alternative approaches, and document its performance and limitations. • Analyze the temporal and relational dynamics
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, immunosurveillance, immune-cell biology (in depth). • Biology of senescence and aging (working knowledge expected, in-depth knowledge appreciated). • Multiparametric cytometry (in depth); high-content
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proposed a strategy to train a neural network to infer high-resolution IPLSs from experimental MRT and RFD data, which when use as an input to the model reproduce experimental replication profiles with
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. Neural analysis: Creation of a high-resolution benchmark from human intracranial electrophysiology (iEEG) data to evaluate which constrained models most faithfully replicate the brain dynamics of