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application. The ambition of this research is to understand, and even predict through modeling, the damage process of tuffeau limestone in its most damaging form of deterioration: spalling. The hydromechanical
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ACHILLES, which brings together a broad spectrum of expertise, including basic research to identify novel biomarkers and therapeutic targets, mathematical and computational modeling to predict disease
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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, such as Constituent Relationship Management (CRM) platforms, to optimize operational efficiency and the student experience Utilize data-driven insights and predictive modeling in coordination with
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breeding programs and to support the reduction of methane emissions; a strong interest in statistical models, genomic prediction, and quantitative genetics, preferably with experience with one of more
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extent the research to prediction models and different product development, which can be tested on pilot scale as well. Duties As a Ph.D. student you are expected to perform both experimental and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
. The Computational Health Center (CHC) at Helmholtz Munich drives research at the intersection of artificial intelligence, data science, and biomedicine with the goal of enabling more precise and predictive health
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impact-based health early warning systems. The successful candidate will join the research team of Dr. Joan Ballester Claramunt (https://www.joanballester.eu/ ) at ISGlobal within the framework
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trends and analyze internally and externally produced data. Build and present sophisticated models to predict and assess the likelihood of various outcomes. Strategic Initiatives (25%) Advance new programs
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in fault detection, diagnostics (FDD), and preventative/predictive maintenance for industrial systems. The role is part of the EU-funded FLARE project, which focuses on improving industrial resilience