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. Qualifications Applicants at Postdoctoral Researcher level should hold a PhD in AI enabled learning, educational technology, information systems, computer supported learning, social entrepreneurship, innovation
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of Ecoscience leads a citizen science-driven project on seabird mortality in Denmark (https://ecos.au.dk/en/researchconsultancy/themes/supre). As part of this project, volunteers count beached birds and collect
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are expected to be fluent in at least one of these languages, and in time are expected to master both. As formal qualification you must hold a PhD degree (or equivalent) within one of the following
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developing scalable quantum processor technologies to solutions for the quantum-classical control and readout interface, and all the way to quantum algorithms and applications. The long-term mission
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have: A PhD in electrical engineering, energy engineering, mechanical engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in
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research projects and funding applications Co-supervise PhD and Master’s students and contribute to the teaching carried out within the section Participate in departmental activities, including
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society and industry. Further, you will be responsible for teaching and supervising students at bachelor’s, master’s, and PhD levels, as well as supervising technical staff within your area of expertise
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. Contribute to BSc and Master’s courses. Contribute to the supervision of MSc and PhD students, as requested and appropriate. Qualifications Applicants must have a PhD in bioinformatics, genomic epidemiology
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
must hold a PhD in Physics, Chemistry, Chemical Engineering, Materials Science, or a closely related discipline, and present a strong record of scientific excellence. This includes peer-reviewed
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intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible: for implementation of machine-learning algorithms for unmanned aerial vehicles; validation