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Field
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, the role involves shaping the research agenda, contributing to project deliverables and publishing in leading venues. The candidate is also expected to support PhD candidates in their research activities
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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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task is to monitor automated quality control of the data products and perform additional tests in the days after the measurement. You report on quality issues and make suggestions for improvement. With a
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with other 2D and 3D techniques such as H&E and LSFM. The work will be done in close cooperation and synergy with an already running PhD project. Partly existing database will be used and extended
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of the UK's most pressing challenges in horticulture—the shortage of skilled labour—by enabling automated harvesting of protected crops. The technology aims to support growers in expanding domestic glasshouse
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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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40 scientists, postdoctoral researchers, and PhD students working on the interpretation of satellite observations, atmospheric modelling, data science, and the development of future Earth observation
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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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at the weekly seminars. Present results internally and at international venues; Qualifications PhD in Applied Mathematics or Computer Science (at the time of appointment), with strong research record in privacy
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inference), and automated machine learning. holding (or close to acquiring) a PhD degree in Computer Science, Artificial Intelligence or a closely related field; strong research vision and an academic mindset