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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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genetic engineering of the selected microorganism to increase its yield and robustness, followed by large-scale cultivation in a 100 L bioreactor. The post doc position is embedded in a larger
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academic qualifications at PhD level. Who we are The post-doc will collaborate with the ORBIT consortium and be affiliated with the Center for Information Systems Research and the AI:Xpertise Lab
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, exciting, and centrally located European city, Aalborg, Denmark. Danish health insurance. Travel funds for you to present your work at scientific conferences. Computer and other practical office necessities
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. Computer and other practical office necessities. Guidance on re-location to Aalborg, Denmark. Who are you? You are a highly qualified and committed postdoctoral researcher who demonstrates great research
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At the Faculty of Engineering and Science, Department of Materials and Production, a post doc position is available from 01.10.2026 or soon hereafter. The duration of the position is one year. Are
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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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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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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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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