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Job Description DTU Engineering Technology is offering a postdoctoral position on the design, synthesis, and characterization of soft scaffolds for tissue engineering. Soft, porous materials
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. The position is part of the new research project “Functional screening to identify novel repressive chromatin factors,” combining genome-wide reporter-based screening , FACS , and multi-omics/proteomics
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our
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analytical skills, including the ability to design, implement, and analyze complex experiments Prior experience with EEG is a plus Prior experience with cognitive modelling is a plus Good command of statistics
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Center (iNANO), Aarhus University invites you to apply for a Post Doctoral position. This is a fixed term 2-year position from 1st March 2026 or as soon as possible thereafter. Job description You will be
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attention and color vision. The position is available for up to 30 months and part of a project supported by the Independent Research Fund Denmark led by Professor Søren Krogh Andersen. The starting date is
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, invites applications for a fully funded 2-year postdoctoral position. The position is to be filled from April 1, 2026, or as soon as possible thereafter. The position is part of a newly funded project from
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models of complex physical systems starting from data, ranging from robotic systems to traffic and turbulent flows. We are implementing these methods in high-performance open-source libraries to make them
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collaboration with leading Danish and European companies as well as international academic partners, ensuring a highly synergetic environment. The AI4OR group addresses complex real-world problems that demand