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Field
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-driven methods. The role will focus on developing intelligent methods and operation-support tools for ATM applications, contributing to the advancement of research and innovation at Nanyang Technological
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no later than October 1, 2026. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis
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processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
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on cell biophysical properties. To validate MRR as novel CQA in stem cell manufacturing. Key Responsibilities: Design and develop a microfluidic prototype to analyse the electrical signals of cells
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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the Centre tackles this challenge through four ambitious research themes: Discovering new therapies for human heart failure Using advanced imaging and experimental medicine to understand disease
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on challenges related to computer vision for geophysical image data. You will investigate and develop robust methods for training models, exploring/developing approaches for multimodal data, utilize context
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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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software prototype to be developed in the project. To report research findings in the form of a report and present in international peer-reviewed conferences and journals. To be involved in the mentoring
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The Sir Peter Mansfield Imaging Centre, University of Nottingham, UK is seeking applications for the position of Research Associate/Fellow - OPM MEG Technology to support newly funded projects