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-funded project will train 15 early-stage researchers to develop human-relevant neuroscience tools beyond animal models, advancing next-generation in vitro and in silico New Approach Methodologies
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. Erben at the Ludwig Boltzmann Institute of Osteology in Vienna, Austria. The project employs a novel stress-shielding model in sheep in combination with multi-omics and systems biology to dissect the role
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at the Ludwig Boltzmann Institute of Osteology in Vienna, Austria. The project employs a combination of in vivo studies using different transgenic mouse models with in vitro cell and tissue culture approaches
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cormorants with an emphasis on ecosystem dynamics, behaviour, spatial modelling and evaluation of ecological aspects of management measures. The candidate may start as soon as possible or after agreement
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characterization platform for innovative materials by combining advanced experimental techniques, physics-based mesoscopic modeling, and artificial intelligence. Within this context, high-throughput experiments and
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, nuclear waste), (ii) predict its behaviour for accidental contaminations, and (iii) offer relevant solutions of remediation. Reliable tools to model the transport of the interested fluids are therefore
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 36 minutes ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office
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of habitable conditions on orbiting planets. This project places the modelling of cool star high-energy environments at its core, developing a generalised framework for characterising time-resolved stellar
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 12 hours ago
position within a Research Infrastructure? No Offer Description Job Summary/offer: To optimally use the resources in veterinary care, it is important to capture, preprocess, and model the existing data
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will apply semantic modeling on the Multi-User Equipment (EMU) cluster infrastructure aiming at the generation of Explainable Artificial Intelligence (XAI). Mandatory requirements: Ph.D. in