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1st Aug. 2026, or as soon as possible thereafter. The position is available for a period of 12 months, with the possibility of extension. In electronic engineering, Aalborg University is known worldwide
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. Responsibilities You will be responsible for the development of algorithms and software for data analysis take part in planning of experiments at synchrotrons actively participate in experiments Qualifications
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Postdoctoral Position in machine learning IoT data (DESS) The Data Engineering, Science, and Systems (DESS) research group at Aalborg University (AAU) is seeking a postdoctoral researcher to
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Biotechnology Research Institute for the Green Transiation (BRIGHT) is developing novel methods to engineer proteins
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experience with distributed control, cyber-physical systems, smart transformers, machine learning, power systems or systems engineering. You have solid skills in modelling and simulation using software tools
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design. However, there is a great need to develop new software for the design of advanced RNA origami robots that can sense, compute and actuate [2]. In the recently funded RIBOTICS (RNA Origami Technology
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
. Possible tasks will be: · Assist in expanding our software simulating breeding programs in different species. · Create simulation tools (e.g. R-package) for estimating economic values. · Simulation
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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and technology comprehension tools for children investigating children’s understandings and conceptualisations of computational and AI-based systems designing and empirically studying learning