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part of the PhD programme to gain experience in teaching or other forms of knowledge dissemination related to the student’s PhD project. Accordingly, PhD students contribute to a limited extent to
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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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of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained
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experimental data. • Proficiency in scientific programming and data analysis tools (e.g., Python, R, Linux/Unix environments). • Demonstrated track record of publishing scientific results in peer-reviewed
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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also contribute to teaching at Aalborg University Business School, amounting to approximately 600 hours, and will complete PhD courses equivalent to 30 ECTS. In addition, the programme includes
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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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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