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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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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business
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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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, 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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into applications in close collaboration with industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks How do wireless-enabled embodied/physical AI systems, including
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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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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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Joint position between the Department of Computer Science, Faculty of Science, University of Copenhagen and the Faculty of Law, University of Copenhagen We are looking for a highly motivated postdoc
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. Jørn B. Christensen and Prof. Michael Pittelkow) to drive the scientific advances in a major funded program together with two of the largest and most innovative industrial companies in Denmark, Grundfos
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nitrogen dynamics, and climate change mitigation potentials in agroecosystems. You will be contributing specifically to the area of regional simulation using process-based models and advanced statistical