122 master-"https:" "https:" "https:" "https:" "UCL" positions at Aarhus University in Denmark
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see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research
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responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 425 academic employees and the same number of PhD students cooperating across disciplines. As
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/The department The Department of Physics and Astronomy is a department at the Faculty of Natural Sciences, Aarhus University, Denmark. The main objectives of the Department are to carry out research at the highest
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in an international academic environment. • Interest and skills in training of visiting scientists and students from different countries. Who we are At the Department of Agroecology, our main goal is
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the international recruitment, marketing, and career team at the International Office. The team consists of five full-time staff members and around seven student assistants. Primary tasks Graphic design Create
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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. 425 academic employees and the same number of PhD
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The place of work is Aarhus University, Campus Slagelse. The affiliation will be with the Department of Agroecology. Who we are At the Department of Agroecology, our main goal is to contribute to sustainable
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scientific areas. We educate both Bachelor and Master of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students
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. The project includes collaboration with leading international experts in proteomics and dermatology and provides access to modern research facilities. The principal investigator is Assistant Professor Xiang
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main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study