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often damage surrounding host tissues, thereby accelerating disease progression and sustaining chronic inflammatory processes. Using an interdisciplinary approach which integrates functional imaging
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are nuclear physics, high energy physics, theoretical physics, astroparticles, astrophysics and cosmology, particle accelerators, energy and the environment and health. IJCLab has very significant technical
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industrial and medical applications. More information can be found via: https://www.maastrichtuniversity.nl/research/institutes/amibm/research/biobased-polymers About Research Group Sustainable Polymer
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. Within Analytical Pathology (AAP) at Helmholtz Munich, we investigate
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. Within Analytical Pathology (AAP) at Helmholtz Munich
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accelerating the implementation of carbon capture and storage (CCS) technologies worldwide. You will investigate amine-carry over in CO2 produced in CO2 capture. Small impurities will be carried into the gas
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
acceleration capability [Fisher17, Li23], enhance impact absorption [Sato15, Hua25], or stabilize gaits [Eckert15, Sabelhaus18]. While effective on targeted benchmarks, they remain isolated and fail to integrate
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
dedicated to conducting impactful research in the fields of Scientific Artificial Intelligence, optimisation, and computational modelling in engineering, with the aim of accelerating technological maturity
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design spaces, long-duration simulations, and real-time applications. This PhD project will develop physics-informed deep learning and surrogate modelling approaches to accelerate simulation, uncertainty
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labour demand by changing hiring behaviour, accelerating skill volatility, and altering the coordination mechanisms through which workers and firms are matched. By integrating scalable measurement with