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Science for Life Laboratory pursues interdisciplinary research in cell and molecular biology. The group is led by Wei Ouyang and combines wet-lab work with automated experimental platforms and AI-driven
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towards a shared goal. You will be responsible for the design and pilot testing of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research will
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to develop image processing pipelines and models for the automated evaluation of 3D data sets towards answering clinical research questions. The project is highly interdisciplinary and is carried out in close
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development, intelligent software architecture and design, automated testing and verification, code generation and repair, DevOps and deployment automation, software maintenance and evolution, software
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engineering, chemical engineering, and automation. The successful candidate will support research in a variety of areas and support staff in publishing original peer-reviewed research articles. Major Duties
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automate measurement procedures including remote operation of the experiments. You will optimise ptychographic detection and reconstruction methods, collaborating with external companies on adapting
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worldwide. Your work will include: Apply existing machine learning algorithms for automated detection of CO plumes in satellite observations Building a global catalogue of CO emission events from 2018 onwards
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postdoctoral researcher to join the ICaRUS project at the section Automation and Control, Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University. The position is full time
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skills in English. Ability to work effectively in an international and multidisciplinary team. Experience with HHG sources, high-power laser systems, vacuum technology, XUV optics, detectors, automated
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of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine