41 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" scholarships at Aalborg University
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University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D
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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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that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at
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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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representation learning. Programming skills (e.g., Python) and experience with deep learning frameworks (e.g. PyTorch) Interest in applications to ecological or biological networks Good analytical and
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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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to plan and carry out long-term empirical research tasks. You will work closely with Port of Aalborg, where you will have a second workspace, and you should be comfortable engaging with both academic and
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At the Faculty of Engineering and Science, AAU Energy, a PhD stipend position is available within the general study programme. The position is offered in relation to the research group Underwater
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to the research environments at Aalborg University as well as to national and/or international research collaborations. Teaching It is a mandatory part of the PhD programme to gain experience in teaching or other
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the general study programme Electrical and Electronic Engineering; as per September 1, 2026, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high