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cellular processes efficiently. This project aims at understanding the formation and functioning of aggregate-forming Archaea-Bacteria partnerships. The project involves working with syntrophic deep-sea
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cardiac organoid technology (Hofbauer, Jahnel, Papai et al., 2021, Cell; Schmidt, Deyett, et al., 2023, Cell; Mendjan et al., 2025, Nature Reviews). Our main question is, how does the human heart grow? We
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(Numerical Analysis and Applied Mathematics) develops numerical algorithms and software for large-scale problems in science and engineering. Its research ranges from algorithm design and analysis to software
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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/Electronic Engineering, Computer Science/Engineering, or a closely related field, with a strong background in wireless communications and/or radar signal processing Solid understanding of 3GPP 5G NR (ideally
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
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natural and AI-designed protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top
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Are you motivated by unravelling how fundamental cellular processes are regulated? Do you want to pioneer the discovery and development of innovative tools and methodologies to decode poorly
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epigenetic processes in human cancers. We develop novel chemical probes, engineered enzymes, and synthetic chromatin platforms to dissect and manipulate chromatin-templated processes. This position aims
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Postdoc position to support international research and capacity-building projects employing elect...
degree in geophysics, engineering, or a related field. Proven experience with EM data processing, inversion, and interpretation (e.g., TEM, AEM). Experience with geophysical inversion software, such as