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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
quality. Secondly, different machine learning strategies based on traditional supervised learning techniques (e. g. random forest (RF), artificial neural network (ANN)) will be applied using the parameters
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, connected to the newly established Norwegian Maritime AI Centre . The position aims to advance how artificial intelligence support ship design processes that are faster, more knowledge-rich, and capable
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 17 days ago
settings for participatory research, and cutting-edge methodological expertise in causal inference and artificial intelligence methods for epidemiology and biostatistics. BIPS is a member of the Leibniz
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for Artificial Intelligence are set to launch in the fall of 2025. These centers will foster interdisciplinary collaboration among researchers to address societal challenges, understand the impact of AI, develop
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PhD candidate in AI-driven ship design, connected to the newly established Norwegian Maritime AI Centre . The position aims to advance how artificial intelligence support ship design processes
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develops, ages and functions in health and disease, in particular neurodegenerative and neurodevelopmental conditions, by bridging disciplines, from artificial intelligence, microelectronics
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Electro. Responsibilities and qualifications The exponential surge in artificial intelligence (AI), internet traffic, and online services demands a revolutionary leap in devices, computing architecture, and
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-edge methodological expertise in causal inference and artificial intelligence methods for epidemiology and biostatistics. BIPS is a member of the Leibniz Association, consisting of 96 German research
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/phd-in-connectomics-analysis-of… Requirements Specific Requirements MSc in any of the of the following fields: Neuroscience, Mathematics, Physics, Artificial Intelligence, Informatics (webdevelopment
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI