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We are looking for a highly motivated postdoctoral researcher to join an interdisciplinary research project on enzymatic PFAS degradation at the Department of Biological & Chemical Engineering of
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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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that are trying to establish the indispensable building blocks for the quantum technology of tomorrow. Responsibilities You overall focus will be to model single-photon emitters in 2D materials and their
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and the green transition. This meansweconduct research in areassuch as the circulareconomy, technology, urban, energy, and environmentalplanning, as well as sustainable transition and design
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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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the Department of Architecture, Design, and Media Technology and is part of a larger project involving at least two PhD candidates. [CB1] The candidate’s workplace will be in Aalborg. Your work tasks The
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technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a three year
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural