36 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Aalborg University
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charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
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marine spatial planningamingothers. Limited teachingwithin the areacanbeexpected, but also in otherstudy programmes at the University. Youmayobtainfurther professional information from Prof. Jamal
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, primarily in tropical and subtropical regions, with a strong focus on hydronic cooling. The research will centre on developing and applying machine-learning methods grounded in control and game theory
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and high-performance computing resources. The positions are part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration
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and methodological rigor Approaches research as an integrated whole, where methods, theory, and empirical work mutually enrich each other Actively contributes to public debates and societal discussions
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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Graph Machine Learning and Graph Data Management At Section for DATA, Department of Computer Science, Aalborg University, a postdoc position is available. The project is funded by a Novo Nordisk
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on on interpretative policy analysis and ethnographic methods. Empirically we conduct city case-studies in Barcelona, Brussels, Copenhagen and Sheffield as well as city networks on migrant solidarity. Job description
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research as an integrated whole, where methods, theory, and empirical work mutually enrich each other Brings together diverse perspectives: humanistic, educational, socio-cultural, and existential psychology
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level the candidate is expected to be able to communicate in Danish. Who we are In the Automation & Control section, we focus on developing mathematical and computational methods for modeling, estimation