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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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the development and demonstration of a “fast decision machine” that can provide a qualified basis for early decisions concerning future aseptic production. You will plan and carry out your research systematically
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Universities for Engineering. According to a 2018 MIT report, Aalborg University is considered to have the 4th best engineering program in the world. According to the recent Times Higher Education Impact ranking
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educational programs or related programs, and you will be involved in supervising BSc, MSc and potentially PhD students whose work relates to composite mechanics and structural analysis. Through
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energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop
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teaching in coordination with colleagues and programme coordinators, and you will support students in developing both their technical understanding and their ability to work with complex engineering problems
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methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C++ • Experience
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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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of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical