177 application-forms-"https:"-"https:"-"https:"-"Dublin-City-University" Postdoctoral positions in Denmark
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We are seeking applicants for a 2 year-postdoctoral position to join us in the Optomechanics group at the Department of Physics and Astronomy in order to work with nanoguitar optomechanical
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The Centre for Science Studies, Aarhus University is inviting applications for a postdoc position within the field of history of science and ideas. The position is a fixed-term position available
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"Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English
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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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as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF
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one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF
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applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 15
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). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials
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PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied