39 computational-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Denmark
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a PhD stipend is available within the general study programme Planning and Development. The stipend is
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project under supervision • 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
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Are you interested in shaping the future of intelligent and secure computing systems where artificial intelligence meets reliable embedded hardware? We are looking for a motivated PhD candidate, as
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analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your skills in scientific computing and hyperspectral data processing. You have
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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 Biostatistics and Epidemiology at the Faculty of Medicine
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of Computer Science and the Department of Chemistry and Bioscience. This stipend is open for appointment from 01.10.2026 (or soon thereafter).The duration of the position is three years. Job Decription Species interact
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infrastructure including compute servers and access to high-performance computing. The research climate invites for lively, open and critical discussion within and across different fields of research and a working
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or soon hereafter. The stipend is available within the doctoral program “Biostatistics and Epidemiology”, and the duration of the position is three years. Your work tasks This PhD project sits
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software and are motivated to develop and apply dynamic models of energy and chemical processes. You are familiar with programming languages and computational tools. Expertise in a particular software
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed