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Job Description Do you want to do research on cutting-edge machine learning methods? If you are establishing a career as a researcher in machine learning, and you are motivated to work with the
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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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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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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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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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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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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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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