136 virtualization "https:" "https:" "https:" "EURAXESS" positions at Aalborg University
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, Aalborg 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
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to be present at the department most days to take part in the daily life and community of the centre. Qualification requirements Applicants must have, or be close to completing, a PhD in environmental
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. Genetic risk predictions from the model will be used by the AI-integrated PhD to examine how individuals’ behavior and psychological safety are affected. The ideal candidate has completed, or is about to
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preferred. Who we are According to the most recent US News and World Ranking, Aalborg University ranks 3rd in Europe and 27th in the world within Best Universities for Engineering. According to a 2018 MIT
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etc. Additional qualifications in relation to the position References/recommendations You can read more about the requirements for your application here . The application must be submitted via Aalborg
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Associate Professor Astrid Oberborbeck Andersen and funded by the Independent Research Fund Denmark (DFF), and the location of employment is Aalborg, Denmark. More about the project Deep Seabed Mining (DSM
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practices through interaction designs and robotic systems. The PhD project focuses on applying knowledge about real-world clinical practice in the design of interfaces between humans and robots. The project
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, transparency, and involvement. Come join us! Read more about the department here; Welcome to the Department of Chemistry and Bioscience - en.bio.aau.dk - Aalborg University How to apply Your application must
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are inclusive and have respect for individuals, communities, and cultures. Our work culture is founded on openness, curiosity, transparency, and involvement. Come join us! Read more about the department here
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, they are difficult to search and analyse. The AI: PAGE Lab develops AI tools that transform historical texts into machine-readable and machine-understandable structured knowledge about the people, places and events