42 phd-in-mechanial-engineering Postdoctoral positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
. 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 technical
-
employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. As a Postdoc, you will be working at Aarhus University Hospital or another hospital in
-
at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications
-
July 2026 and in other dissemination activities. Qualifications Applicants must have a PhD degree or must document equivalent qualifications in a relevant field related to Old Norse studies, for instance
-
with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
-
at PhD level, for example within the following area: Cancer immunology, drug delivery. Experience with in vitro and in vivo experiments, flow cytometry, and RNAseq is required. As a person, you have good
-
are searching for a highly motivated candidate who has: A PhD in a relevant field such as environmental management, geography, sociology, organization studies, political science, or related disciplines. The ideal
-
Anatolia and from the Tigris to the Mediterranean with a focus on visual culture. Qualifications Applicants must hold a PhD degree in Classical Archaeology or closely related disciplines and be able
-
contributes to developing the academic field in question. Your qualifications To qualify for the positions, you must have been awarded the degree of PhD or have acquired equivalent qualifications. Who we
-
You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the