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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal
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(DTU), we are offering a fully funded PhD position focused on understanding and mitigating the environmental and health impacts of footwear materials. This research sits at the cutting edge of waste and
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Present and discuss research findings to both peers and the public Assist in teaching courses and co-supervise MSc/BSc students with relevant projects Visit and collaborate with research partners in Denmark
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assessments of data quality effects on genomic inference, and apply these methods to real datasets from extinct species. You will help shape how the field extracts meaningful biological signals from challenging
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motivated PhD student with a background in biomedical or pharmaceutical engineering, biomedical sciences or similar. You will work under the supervision of Assistant Professor Lisa Maria Riedmayr
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chance to connect and work with leading researchers in the Copenhagen region and abroad. As part of the project, you will also have the opportunity to spend some months under the supervision of Assistant
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Job Description Are you passionate about ontologies, data integration, or semantic technologies—and ready to apply them in a real-world engineering context? Would you like to help shape the future
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student with a background in biological engineering, biotechnology or similar. You will work under the supervision of Assistant Professor Raphael Ferreira on large-scale genome engineering in human T cells
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cells provide new means for studying human health and disease in the lab. These systems may ultimately reduce the cost of drug development and accelerate biomedical research. Multi-material 3D printing
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with methodologies such as AI-assisted evidence synthesis and quantitative health impact assessment and become part of an interdisciplinary research environment with strong links to DTU Compute and the