32 parallel-computing-numerical-methods research jobs at Aalborg University in Denmark
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At the Technical Faculty of IT and Design, Department of Computer Science, a 2-year Postdoc position in theories for programming semantics, methods for verification and reliability assurance
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of electromagnetic theory, microwave principles, and computational electromagnetics (FDTD, FEM, MoM). Research experience with mechanically beam-steering, multiband/shared-aperture antennas, or antenna array synthesis
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material testing, and simulation tools such as musculoskeletal modeling, multibody dynamics, finite element analysis and numerical methods in general. The Department of Materials and Production (MP) is a
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methods, design interventions, and digital/computational methods to engage users, publics, and partners in exploring dilemmas, controversies, and paths to sustainable and desirable futures. We strive
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performance evaluation. You can formulate relevant research questions, select suitable methods and communicate your results clearly in both written and oral form. You have documented project management
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scientific and technical supervision to students and technical staff. Facilitate collaborations and ensure alignment between experimental and computational research teams. Your competencies The ideal candidate
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of the DfS research group is to contribute to circular and sustainable transition processes through innovative and action-oriented research that contributes to methods and frameworks in the emerging field
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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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to developing methods and tools that support a cost-effective, flexible and sustainable integration of cooling in future energy systems. Your work will be structured around two strongly interconnected research
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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