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collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing under corrosive environments, and will participate in the 4D (x,y,z,time) analysis of the AM microstructure and crack
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ensuring accurate and efficient analysis of system behavior under various conditions. Dynamic equivalents enable faster and potentially more reliable stability assessments, which are vital for integrating
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analysis of nanoscale materials in hard and soft matter. Since 2018, DTU Nanolab is extended to provide expertise in soft matter from small molecule complexes to biological cells. Technology for people DTU
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lymphocytes Basic skills in molecular biology and biochemistry (e.g. cloning, gene expression, protein identification) Analytical skills including analysis of multi-parametric flow cytometry and experience with
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cell factory development, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc
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wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT
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-cutting and bending to break the glass panels. The project will involve the establishment of a numerical model and the acquisition and analysis of data from physical measurements in the production
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University of Denmark, DTU. DTU Nanolab houses a state-of-the-art electron microscopy center. The work carried out at DTU Nanolab spans the range of basic topographical studies to highly sophisticated analysis
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verification and formal verification. runtime analysis and reconfiguration of in-vehicle TSN networks. Co-supervise students. Optionally contribute to teaching. Required qualifications: Hardware design in a
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), robotics and computing, construction production processes, and life cycle and sustainability analysis (LCA). The successful candidate will be responsible for conducting cutting-edge research in the field