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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student
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HCI, machine learning, biosensing, and accessibility. You will design and evaluate trustworthy, interpretable XR experiences in a joint DTU-KTH project with co-supervision and extended research stays
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, self-motivated, and team-oriented person who enjoys working on the theoretical and applied foundations of acoustic machine learning. Your CV comprises: Solid foundations in signal processing and
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topics: Development of deep learning models Mathematical foundations of machine learning Optimal deployment of AI systems The candidate is expected to hold a relevant MSc degree in Computer Science
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background in fiber optics, laser-physics, communication engineering, machine learning, and AI-based agentic frameworks. Experience applying machine learning or AI-based optimization frameworks to
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industrial sustainable technologies. Molecular simulation output will be used for the training of machine learning models and prediction of properties for materials not synthesized in the lab, yet. In
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bringing together expertise in antimicrobial resistance, microbial genomics, bioinformatics and machine learning, quantitative risk assessment and burden-of-disease modelling. Responsibilities and
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, geophysics, engineering, or a related field. We imagine you are interested in remote sensing, glaciology, and/or data-driven methods such as machine learning, and that you are motivated to develop
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in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our monthly free seminar “ PhD relocation to Denmark and startup “Zoom” seminar ” for all questions
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, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1, 2026, or as soon as possible thereafter