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for extended visits. The research group is located at the main campus of SDU, which is located in Odense, the third largest city in Denmark. Denmark is known for its high standards of living, free health care
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on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial communities, for use in health science. We aim to expand these methods and their
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are part of a sub-project on Algorithmic Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University
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expected to teach relevant courses at the bachelor’s and master’s levels with supervision from colleagues. Lastly, you will be advising students at all levels, including Master and PhD students
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equipment, facilities, and infrastructure. A competitive salary and social benefits (e.g., health coverage, parental leave, social security, etc.) (https://www.sdu.dk/en/om-sdu/international-staff/getting
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personalized therapeutic strategies. Responsibilities Your main responsibilities will be: Develop and apply quantitative methods for imaging of signaling molecules in mammalian cell cultures grown in both 2D and