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discrete black box combinatorial optimization problems (https://arxiv.org/abs/2510.01824 ). In this work, we parameterize a multivariate autoregressive generative model for generating solutions. By sampling
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. - Knowledge of programming languages for instrumentation (LabView, Python) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5589-BAPALL-001/Default.aspx Work Location(s) Number of offers
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and novel biosensing strategies, with the aim of creating new diagnostic tools for liquid biopsy. You will be in charge of: - developing a new version of an optofluidic fiber optimized for plasmonic
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of the School, the Institut Mines-Télécom and the Institut Polytechnique de Paris Job requirements We are looking for a candidate with in-depth theoretical and practical knowledge in the field of optimization
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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the fabrication is validated or not for every step. This task will require the capability to propose a flow chart and an advanced knowledge and expertise/autonomy of all steps that can be done in clean room
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km far, but public transportation exists for connecting both places. Planning on the researcher work will be provided beforehand in order to optimize his/her displacements. The post-doctoral research
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skills (Matlab, Python, C++) are a significant asset. •Knowledge of artificial intelligence techniques and associated optimization algorithms would be appreciated. •Good knowledge of English (working
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for synthesizing electrospun membranes tailored to the requirements of our research and development projects. - Optimize synthesis parameters to enhance membrane performance in terms of selectivity, permeability
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epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of interventions, support policy making and optimize control strategies. Our approach is