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teacher training a mentoring programme support to develop scientific networks and to secure interdisciplinary research at the highest level As part of the Aarhus University Tenure Track Programme, the
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training a mentoring programme support to develop scientific networks and to secure interdisciplinary research at the highest level As part of the Aarhus University Tenure Track Programme, the University
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directions will be pursued to enhance column generation using machine learning. The first line of research focuses on improving scalability by using Graph Neural Networks to identify and eliminate non
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, including AMR genotyping and phylogenetic analysis. Development and dissemination of laboratory guidelines and reference materials for the EURL network. Contribution to technical missions and consultations
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national and international research networks time spent abroad working at one or more internationally recognised research institutions. Finally, applicants are asked to provide a proposal for research to be
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maintains a high academic and didactic standard. It is expected that you possess excellent collaborative skills and a broad academic network which you can bring into play in your con-tribution to the academic
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such as software engineering, computer science, or data science, with demonstrated experience in energy-related projects. We seek individuals with strong communication and interpersonal skills, as
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will be actively researched. Apart from the topics above, your own background, research interests and passion will be considered when defining your specific PhD project description. Furthermore, you will
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or experience in strong collaborations and interdisciplinary work at the intersection between machine learning, geophysics and acoustic data modeling. A strong experience with software defined radio Automatic
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Nutrition), a number of centres of excellence and various interdisciplinary centres. Here, you can find: A lively and engaging research environment. Work with a large international research network. Gain