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interdisciplinary research group focuses on developing and applying advanced image processing and artificial intelligence (AI) tools to solve challenges in healthcare and biotechnology. Our work spans from AI
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, working with the Medical Image Analysis and AI research group within the School of Computing Science. The successful candidate will develop novel computational frameworks integrating biophysical tumour
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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secondary or adjunct appointment in a medical department. General areas of interest include Biomedical Imaging Hardware Development as well as Biomedical Signal and Image Processing of all Biomedical imaging
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
of "new engineering programs", help solve the bottleneck problems for China's core technologies, and establish a new paradigm that connects research frontiers with regional industries. School of AI
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part of the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/. The University, at its discretion, may
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-to-date taxonomic expertise and exposure to innovative and automated image processing and morphometric techniques, as well as fossil identification involving Artificial Intelligence. A pilot study will be
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• Directs investigators in selecting appropriate spatial platforms (e.g., sequencing-based or imaging-based technologies) • Evaluates tissue preparation requirements (FFPE vs fresh frozen) and assay
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Replication of ‘Carbon-Dot-Based Dual-Emission nanohybrid Produces a Ratiometric Fluorescent Sensor for In Vivo Imaging of Cellular Copper Ions.’” (2025) Preprint, Open Science Framework, https://doi.org
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x