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and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 15 May 2026 (23:59 Danish time). Applications must be submitted as one PDF file
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, image/video analysis, or behavioral phenotyping • Handling and processing large datasets, including behavioral or imaging data • Confident use of computers, hardware/software systems, and technical
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collection across a wide range of platforms and methods, including ROV, AUV, and diver surveys, vessel‑based acoustic and video surveys, satellite-, in situ instrumentation, and aircraft-, and UAV‑based
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, Department of Civil and Mechanical Engineering (DTU Construct). In this role, you will integrate advanced vision sensor technologies, materials science principles, and computational image processing
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within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas. Preference will be given to candidates with competence in concrete
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personalised media experience, as formulated in SMPTE ST 2110 suite of standards for video, audio and data over IP. This research asses the implications for public interest media of these fundamental changes and
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robotic system capable of autonomously performing standard echocardiography. Your primary tasks will include: Setup annotation platform for labelling Echocardiography videos. Supporting data collection and
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
Profile: Documented expertise in computational biology, NGS data analysis, processing of experimental datasets of murine and human origin, network analysis and investigation of multi-omics datasets
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and tissues. iPSC models with focus on adipocytes / adipose tissue. In vitro transcription, lipid nanoparticle formulation, microfluidic mixing and process optimisation. Designing, delivery and
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, processing video data, and applying AI models to improve efficiency in population and behavioral analyses. Fieldwork will be combined with statistical and spatial analysis using RStudio and GIS tools. In