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A PhD position starting November 1, 2025 (with some flexibility in both directions) is available at the University of Southern Denmark (SDU) for research in an exciting project in algorithmic
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repetitive protocols and troubleshoot details. You are also expected to be able to think out-of-the-box and help developing new ways to overcome challenges in the research. Qualifications Master’s degree in
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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
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to engage in world-class research in theoretical nanophotonics. The ideal candidate will be enthusiastic about contributing to cutting-edge research in a dynamic and ambitious young research group, supported
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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