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plate array microscope for simultaneous time-lapse video microscopy, enabling high-throughput single-cell analyses of rapidly migrating cells. You will be responsible for Developing new machine learning
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UiO/Anders Lien 24th March 2026 Languages English English English Join the inclusive University of Oslo as a PhD Research Fellow in Machine Learning, tackling real-world data challenges! PhD
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, Information extraction, Machine learning, Computer vision, Pattern recognition. ABOUT ADVANCED SEMICONDUCTOR RESEARCH CENTRE The XJTLU Advanced Semiconductor Research Center is jointly established by Xi'an
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. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team
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Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
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Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a
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Shifting the paradigm: machine-assisted scholarly digital editing Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all year
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states and the transcription factor combinations that drive them as well as predict new combinations with machine learning approaches. This project will encompass: analyse single-cell and multi-omics
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of machine learning potentials for the simulation of nucleic acids, developed by the group of Prof. Rafał Szabla. The funding eligibility criteria limit the maximum experience after obtaining the first PhD