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Field
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seeking to fill a Postdoctoral Research Associate position to work in the areas of environmental life cycle assessment (LCA), technoeconomic optimization; and industrial energy efficiency and production
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or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover
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parameter, representing the elementary act of writing a bit of information. As THz photons exactly match the excitation energy, this represents the optimally energy efficient switching regime, avoiding
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PhD position under LUMEN project funded by BPI-France, France 2030 and Normandy Region within I-Démo 2024 program. The project gathers experts in fiber laser design, realization and qualification aiming
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, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated
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staff and students. YOUR TASKS You'll be working on a research project focused on data-driven modeling for optimizing production processes in the pharmaceutical sector. Your specific tasks will include
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highly collaborative team of researchers, who are tightly integrated within IGI's Berkeley Initiative for Optimized Microbiome Editing (BIOME). Projects will focus on characterizing model microbiomes using
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generative models, optimization tasks, or other specific applications. The candidate will work in the context of the project ML-QSIM, a 4-year, 2M€ project funded by the Spanish Government, within a
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges
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defended their PhD and have not yet undertaken a postdoctoral position are eligible. The candidate will carry out scanning tunneling microscopy (STM) experiments in a cryogenic and ultra-high-vacuum