22 fully-funded-phd-program-computer-science Postdoctoral positions at Aalborg University
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undergraduate students and PhD students. Disseminate the results of your research to the public. Secure own funding, ie grants for specific project leadership tasks. Participate in the day-to-day life of
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interdisciplinary project funded by the Danish Energy Technology Development and Demonstration Programme (EUDP) and has a strong focus towards commercialization the resulting battery. Your competencies Appointment as
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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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teaching in coordination with colleagues and programme coordinators, and you will support students in developing both their technical understanding and their ability to work with complex engineering problems
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of Society and Politics, Faculty of Social Sciences and Humanities, invites applications for one or more 2-year fully funded postdoctoral research positions in criminology with a focus on cybercrime. The
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, computer science, bioinformatics, computational biology or biostatistics Proven expertise in machine learning applied to molecular or other high-dimensional data Experience working with IBD or other immune-mediated
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: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position A research plan Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD
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should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
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hold a PhD degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field or can document equivalent scientific qualifications at PhD level. Your research profile
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of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical