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and master’s theses in the Service Systems Design master’s programme. You will also contribute to curriculum development and to training activities that strengthen students’ employability. Your work
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The Technical Faculty of IT and Design, Department of Computer Science, Section for Copenhagen, Natural Language Processing The Department of Computer Science at The Technical Faculty of IT and
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Postdoc in Digital Education and Empowerment for Patients with Atrial Fibrillation and Comorbidities
compared with usual care. The postdoc will coordinate and contribute to the co-design process, prototype and program development, feasibility test and evaluation of the effectiveness of the AF-EMPOWER
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Department of Clinical Medicine The Department of Clinical Medicine provides research-based teaching across all disciplines of the medical degree programme and conducts research within the clinical specialties
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validate these computational models, the group has engineered automated, high-precision experimental test benches. You will join an international academic environment where collaboration across topics and
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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interdisciplinary project funded by the Danish Energy Technology Development and Demonstration Programme (EUDP) and has a strong focus towards commercialization the resulting battery. Your competencies Appointment as
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will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data