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at PhD degree in a relevant field, such as mycology or building physics, with expertise in fungal growth in buildings. Who we are The position is open at the Department of the Built Environment (BUILD
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University is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all
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requirements Appointment as postdoc requires academic qualifications at PhD level. Who we are You will join the Department of the Built Environment at Aalborg University. The division conducts research in
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collaboration with PI Associate Professor Mette Simonsen Abildgaard. Qualification Requirements • Applicants should hold a PhD in anthropology, STS, arctic studies, media studies or related fields
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requirements Appointment as postdoc requires academic qualifications at PhD level. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation
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Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which
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impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
at PhD level. Who we are You will be part of the Research Group for Building Physics at BUILD, Aalborg University. The research group focuses on ensuring correct construction techniques for both new
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academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40% of all employees are internationals. In total, it
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has: A PhD in translational and laboratory medicine within the field of IBD. Proven expertise in omics data analysis, including proteomics and metabolomics data (R/RStudio, multivariate and regression