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on the modelling and optimisation of PRO systems using advanced Computational Fluid Dynamics (CFD) and Machine Learning (ML) techniques. This role offers an exciting opportunity to contribute to cutting-edge
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of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer advancements in high-tech
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Associate Professor (Independent Group Leader) in Data Science and Modelling of Whole-Cell Biosol...
for the data framework for IBIS, allowing you to focus on data science/scientific computing. Teaching Responsibility: Capacity building in the Global South and North is key to enabling local R&D communities and
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engineering, operations research, computer science, economics, or a related field. You must have demonstrated track record with publications in recognised and leading journals based on experience in developing
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, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer advancements in high-tech distributed and embedded
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the following general criteria: Experience and quality of teaching Research experience Research vision and potential International impact and experience Societal impact Innovativeness, including
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of Electrical and Computer Engineering is one of four engineering departments at the Faculty of Technical Sciences at Aarhus University. Our vision is to be a world-leading department for research, education and
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, artificial intelligence (AI), machine learning, and computation have emerged as powerful digital technologies for creatively generating new design ideas and rapidly advancing formgiving methods within
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from August 1
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs