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focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently
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-power analog and digital electronics, mixed-signal systems, embedded electronics, data acquisition, or electronic system design. The candidate must have excellent communication skills and be able to teach
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. Learn more about the department on our website and in our research portal . Your work tasks This PhD stipend will be affiliated with a research and innovation project focusing on health system innovation
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at Aalborg University, a university with world-class research in many disciplines. Aalborg University is a founding institution in Problem-Based Learning. With this as a guiding principle, the Business School
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including bio-informatic processing To have experience with nucleic acid molecular manipulation incl PCR and experience in next generation sequencing -primarily on the illumina platform. To be eager to learn
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are expected to learn Danish, and Aarhus University arranges Danish teaching. To be assessed as qualified for an Associate Professor position, you must meet these academic criteria . Shortlisting will be used
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methodological development and application of bioinformatics, biostatistics, machine learning, and data management within clinical research. CLINDA is interdisciplinary and employs biostatisticians
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• Participate in the department’s research environment • Complete a PhD training programme • Teach at one or more of the department programmes Your main task as a PhD student will be to develop and complete a PhD
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learning model, where students work in project groups with real-world problems in close contact with companies and society. In addition, you will take part in the department’s academic service and
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within other bachelor’s and master’s programmes at the department. Teaching is based on Aalborg University’s Problem-Based Learning (PBL) model and includes: Lectures Case-based teaching Laboratory courses