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systems. Key responsibilities Develop modeling tools to assess the environmental and socio-economic sustainability of industrial supply chains and processing technologies. Implement optimization models and
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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yeast experience as postdoctoral researcher. Accredited experience in anaerobic process optimization and physico-chemical (microbiological) analyses. Experienced in national and international research
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core of our platform. We want candidates with strong backgrounds in: Machine Learning & Optimization: Practical expertise in Gaussian Processes and Bayesian Optimization (BO). Experience with custom
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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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workflows to accelerate the discovery and optimization of advanced materials for energy applications. Within the SEMS group at IREC, the main objective is the implementation of an automated experimental
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optimization. • Microstructural, chemical, and morphological characterization of coatings and substrates. • Design and execution (or coordination) of irradiation campaigns and post-irradiation examination
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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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to be developed: Implement and optimize inkjet printing processes using Fujifilm Dimatix printers, both in ambient and inert conditions. Optimize photochromic films printed on various substrates
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. Working closely with partners in the IMPRESS project, you will analyse their materials and provide valuable insights to help optimize device performance. Additionally, you will support collaborators by