39 computational-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Denmark
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programme Wireless Communications; as per January 1, 2027, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and societal impact
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demanding PhD programme are interested in engaging in an international research environment What do we offer? Aarhus BSS is part of Aarhus University, an internationally recognised research university with
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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Creativity Support in Generative AI The position is open for appointment as of October 2026, or soon hereafter. The position is a three-year role, located in the Department of Computer
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background equips you to work with both materials and processes, and you are comfortable operating at the interface between experimental work and computational modelling. You have experience with Machine
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available for a period of 3 years starting January 1, 2027. The PhD student will be enrolled in the doctoral programme in Health Care, Health Promotion and Organizations at the Faculty of Medicine. Applicants
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to prioritize causal genes and pathways. Characterizing cell-type-specific mechanisms linking genetic variation to insulin resistance and glucose dysregulation. Developing computational approaches for multi-omics
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possible thereafter. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience at the Faculty of Medicine
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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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patterns representing health incidents and the development of privacy-preserving methods for visualizing health data. What you will gain: Strong expertise in statistical and computational methods for privacy