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and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars
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industrial ecology by strengthening SDU LCE’s capacity in data-driven methods, modelling, and decision support, including environmental informatics approaches where relevant. The research can include the
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aero-elasticity, numerical flow computation and experimental work. You will work with nearby colleagues and international collaborators and be an active contributor to the ongoing project formation and
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and teaching methods. Over time, you will also be able to take on coordination roles in teaching activities and participate in study programme development. Depending on project activities, you may also
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machine learning methods to scientific challenges in areas such as bioinformatics, physics, or chemistry. You will collaborate closely with skilled colleagues across areas such as computational modelling
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collaborates in all stages of the research process, and the selected candidate is expected to contribute substantially to this research method, in Denmark and in other countries. Collaborative research elements
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experience in scientific writing with numerous papers in high-quality journals or other high-quality publication channels Possess a high H-index (depending on research area) Prove a high degree of independent
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innovative competences in developing digital methods, working with large-scale datasets and applying mixed-methods approaches are highly relevant to the position. Applicants are asked to present a convincing
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innovative competences in developing digital methods, working with large-scale datasets and applying mixed-methods approaches are highly relevant to the position. Applicants are asked to present a convincing
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At the Faculty of Engineering and Science, Department of Materials and Production, a PhD stipend is available within the doctoral programme Materials Science, Mechanical and Manufacturing