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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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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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Pepa Atanasova (Computer Science), Ingo Zettler (Copenhagen Center for Social Data Science and Department of Psychology), and Egor Starkov (Economics). The project's goal is to build a foundational
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will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data
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Profile Recognised Researcher (R2) Application Deadline 9 Aug 2026 - 21:59 (UTC) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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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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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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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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Postdoc Positions Application Deadline 20 Aug 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme