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and supervise PhD and MSc student projects). Qualification: Background in concrete technology and characterisation. Background within image processing, computer vision, or related fields. Background
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of Civil and Mechanical Engineering (DTU Construct). In this role, you will develop a deep learning–based image analysis framework designed for in-line monitoring of concrete and its constituent materials
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for flow cytometry, imaging, next-generation sequencing and cell engineering. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a
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. You will set the agenda in optical imaging for health technology and contribute to flagship initiatives that improve patient outcomes through prediction, prevention, early diagnosis, and treatment
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and industry. You will set the agenda in optical imaging for health technology and contribute to flagship initiatives that improve patient outcomes through prediction, prevention, early diagnosis, and
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, as well as integrating imaging outputs with downstream structure determination processes and archiving systems. The role also supports X-ray diffraction data collection, particularly at synchrotron
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Mechanical Engineering (DTU Construct). In this role, you will integrate advanced vision sensor technologies, materials science principles, and computational image processing methodologies to develop a
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Master’s degree (minimum requirement); a PhD or equivalent industrial experience is an advantage. Strong knowledge of biotechnology/pharma innovation, technology assessment, and value creation processes
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contribute to generation of new projects. Your Experience and Competencies We are looking for an associate professor with the following experience and competencies: A PhD degree in Mechanical Engineering