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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
the nano-scale self-organization behavior in thin films on a substrate. The project involves structural studies of thin films of specifically designed ABC-stars synthesized by a PhD student in the group
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computational approaches to chart and understand the gene regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational
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at least one of the following areas: theoretical computer science (e.g., formal methods, design automation, algorithms) and reinforcement learning. The candidate should be open to practical
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at least one of the following areas: theoretical computer science (e.g., formal methods, design automation, algorithms) and reinforcement learning. The candidate should be open to practical
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disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160
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participatory methods and contribute to bridging research and real-world implementation. We expect that you will be an important part of the research environment and that you will contribute positively
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participatory methods and contribute to bridging research and real-world implementation. We expect that you will be an important part of the research environment and that you will contribute positively
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advanced computational methods to improve and understand protein function Interest in entrepreneurship to make a positive impact on planetary and human health As a formal qualification, you must hold a PhD
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modelling methods to design resistance-proof antibiotics. You will join an interdisciplinary team, integrating machine learning, medicinal chemistry and microbiology. You will work with Asst. Prof. Eli N
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. Specifically, the project will combine 30 years of Danish health data at the service of hundreds of women with endometriosis, recruited through online platforms. It will use AI-enhanced methods to handle