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macro scale data acquisition and analysis, including purchasing the remote sensing data (from fixed-wing UAVs and satellite remote sensing), linking the detailed labelled geospatial surveys of project
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. Development of quantitative image analysis to extract information on atomic vibrations and displacements from image series. Investigate molecular adsorption, surface reconstruction and site-dependent
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, implementation and operations, data analysis, processing, dissemination, and applications, leading to new instruments and applications. With the specialized and refined technology available, we are getting more
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lead the image processing and computational analysis efforts, developing robust methods to register, segment, and analyse spectral micro-CT data, and — where relevant — advance reconstruction and
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with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
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research of high international quality, including publication Transcriptomics and molecular analysis of skeletal muscle Analysis of signaling pathways linking muscle excitability to gene regulation
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tools capable of addressing fundamental questions in biodiversity and conservation. Your profile We are looking for candidates with strong skills in computer vision and image‑based data analysis, combined
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throughout the research process, including conceptualization and theorizing, data construction and analysis, and preparation of academic articles for international journals. You will collaborate closely with
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employment The position is for a 2-year period starting 15 July 2026. Job description The post doc will join Kasper R. Andersen’s research group working on structural and functional analysis of plant receptors
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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