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/jiec.13205 Komkova A., Habert G. 2023. Optimal supply chain networks for waste materials used in alkali activated concrete fostering circular economy. Resources, Conservation & Recycling. DOI:10.1016
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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also recognizes the unequal capacities and risks involved, highlighting the “cruel” ascriptions to optimism and the potentially devastating consequences of aspiration. ASPIRA's approach identifying
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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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mechanisms underlying bacterial infections and the emergence of antimicrobial resistance, and (2) evaluate novel treatment strategies. A key objective is to optimize the platform for translational applications
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We are looking for a creative and hands-on Polymer Chemist with Formulation Expertise to join our growing team. In this role, you’ll play a key part in developing and optimizing innovative, bio
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for the simulation of a wide range of future scenarios, and 3) advance the use of sequential decision analytics (e.g., reinforcement learning or stochastic optimisation) for the identification of optimal adaptive
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these circuits into functional cellular therapies. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and
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100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
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into functional cellular therapies. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and executing protocols