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an atom interferometry experiment using a Bose-Einstein condensate manipulated by an optical lattice. He or she will develop optimal control protocols to develop a cold-atom gradiometer. This project will
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the research activities entrusted to the officer take place: This ANR project lies at the interface between statistical learning (mainly deep learning) and combinatorial optimization (mainly stochastic and
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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
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focused on translational control in cancer • Drive the development and advance our single-cell ribosome profiling strategies in mouse models of cancer • Contribute to the development and optimization of new
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; modelling of processing steps and whole processes to support innovation, design, optimisation and control for manufacturing operations. Process control: process modelling, control, and optimization, with
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and motion planning, whole-body control, multi-contact manipulation/locomotion, machine learning and optimization, avatar animation or related areas. You have experience working on real robots and great
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, we will identify optimal fast-charging parameters using data-driven optimization methods. (2) We will first design an optimal control strategy on laboratory three-electrode cells using anode potential
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structure, dynamics, and switching mechanisms at the nanoscale, including optical manipulation of polarization states. Design and execution of experiments demonstrating optical control of ferroelectric
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, synthesis, and optimization of organic, inorganic, and composite coatings Implementation and optimization of plasma deposition processes at low pressure and atmospheric pressure Characterization of
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regulate mesodermal differentiation and epithelial-mesenchymal transitions (EMT) using innovative experimental approaches. Objectives 1. Create controlled heterogeneities in gastruloids via fusion