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Field
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of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we
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education. DTU Wind and Energy Systems has approximately 90 PhD students. The department's cross-disciplinary research is organized through strategic research programmes that collaborate with Danish and
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qualifications You will lead the computational and AI-driven aspects of the project. Your responsibilities will include: Designing and implementing state-of-the-art deep learning architectures for protein
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design platforms for rapid deisgn and optimisation of novel targeting modules. Your responsibilities will include: Designing and implementing state-of-the-art deep learning architectures for protein
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impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in
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and journals, focusing on venues associated with the above-mentioned areas. Work closely with and provide technical and intellectual mentorship to PhD students and research engineers within the SMART
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What you will do Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level The position is meritorious for future roles in academia
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for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration
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research groups Willingness to work in a team and to mentor PhD students Strong written and verbal communication skills in English The following experience will strengthen your application: Exerperience in
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educational attainment. The ideal candidate will have a PhD in environmental media studies or cognate discipline. They will have strong qualitative analytical skills and be equipped to analyse how media shapes