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learning, computer vision, and automated microscope control for autonomous imaging, focusing, and data acquisition. Advance AI-assisted image interpretation, including atomic structure recognition, defect
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Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo
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; e) Certified technical-professional training related to the areas listed above; f) Experience in delivering oral or poster communications at scientific conferences; g) Basic computer skills from a
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of Engineering and contribute to industry-engaged research in construction materials and modelling. This role offers a rare opportunity to work across laboratory experimentation, scaled-up prototype testing, and
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for boosting green and digital innovations”, Project ID 101186592, https://cordis.europa.eu/project/id/101186592 , running between February 2025 and January 2030 and funded by European Research Executive Agency
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address the fundamental processes guiding the earliest stages of mammalian embryo development. Early embryogenesis involves tightly coupled cellular dynamics, mechanical forces, and gene regulation
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digital image analysis platforms (Halo, VisioPharm, QuPath, InForm, etc.) a plus Experience with R, Python, and commonly used libraries/packages a plus Enthusiasm for novel assay and technology development
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digital innovations”, Project ID 101186592, https://cordis.europa.eu/project/id/101186592 , running at the University of Minho between February 2025 and January 2030 and funded by European Research
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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Learning & Brain Imaging at National University of Singapore The National University of Singapore invites applications for a research fellow position (post-doctoral fellowship) in the Multimodal Neuroimaging