17 machine-learning-and-image-processing-"RMIT-University" Postdoctoral positions at University of Lund
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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Description of the AMBER project This post-doctoral position is part of AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which will address scientific and sectoral gaps in
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growth by metalorganic vapor phase epitaxy and developing AI approaches for deterministic synthesis to achieve n- and p-type conductive AlN and related UWBG Al containing alloys. Doping and processing
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dynamic processes in atoms and molecules using electron spectrometers. The positions imply the development of ultra-short pulse technology at high repetition rate in new wavelength ranges, with the help
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. The position aims to investigate the fundamental physical and chemical processes underlying the thermal-chemical conversion of green fuels, using advanced high-performance computational methods. The research
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these postdoctoral positions are aimed for you! Subject description The project, Dual Control at Scale: Learning-based control for systems with millions of states, is funded by an ERC Advanced Grant, a