31 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" positions at Empa
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efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral researcher. The project aims
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performance while enabling more efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral
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, prestress transfer, and reactivation. Structural-scale simulation of SURPASS overlays in strengthened members, including parametric finite element analyses for surrogate-model development and digital-twin
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element analyses for surrogate-model development and digital-twin support. Large-scale experimental assessment of volumetrically prestressed SURPASS overlays for non-planar structures, including
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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. Empa is a research institution of the ETH Domain. Our passion lies in materials science and technology, and at the Urban Energy Systems Laboratory (UESL), we develop strategies and methods to support the
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, and interdependent pathways) using time-resolved and spatially resolved spectroscopy, patterned illumination, and pH/thermal stimuli. Develop and validate logic maps for memory formation, consolidation
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interpret experimental and physiological data and contribute to the development of models and predictive approaches for human thermal responses. Communicate scientific results through peer-reviewed
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therapy. The successful candidate will join an interdisciplinary research team developing innovative living hydrogel systems for the treatment of wound infections caused by antimicrobial-resistant (AMR