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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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network management. You will have a good first degree in physics, electrical and electronic engineering, computer engineering/science, or another relevant subject, and a PhD or equivalent experience in
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
Technology Focus Areas: Tenure-track Assistant Professor in Video and Audio Processing, XR/3D Media processing, Computer Vision, Computer Graphics, Haptic information processing, Artificial Intelligence
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analysis / computer vision, ideally on microscopy or time-lapse data Experience in at least one of: tracking / time-series analysis, probabilistic modelling / uncertainty, real-time or streaming pipelines
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computer vision, NLP, and other AI domains to biological problems Build computational frameworks that integrate multi-scale immune data for digital twin development Implement rigorous model validation
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profile A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics, Robotics, or a related field A competitive research record in one or more of the following disciplines: computer vision
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three decades, the Department of Physics has been offering graduate programs with MS and PhD degrees in Physics with emphasis on Nuclear and Optical Physics. A new emphasis is being added on Plasma
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bispecific or multispecific antibody formats, antibody-drug conjugates, and cell-based therapies, including CAR T-cell therapy, NK-cell therapy, and other forms of adoptive cell therapy, as well as related
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14 high-capacity climate chambers and 2 phytotrons with computer-controlled light, temperature and humidity settings, supporting advanced plant biology and stress physiology research. The Centre
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Experience Requirements Required: PhD or equivalent in a related field; an established record or strong evidence of the ability to achieve an extramurally-funded and productive scholarship program in a