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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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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
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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
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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
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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
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directed to Associate Professor Helle Strandgaard Jensen (hs.jensen@cas.au.dk ) Qualifications A PhD in history, cultural studies, anthropology, sociology, media studies or related areas focusing on modern
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submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities