10 image-coding-"Foundation-for-Research-and-Technology-Hellas" Postdoctoral positions at University of Lund in Sweden
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Description of the workplace This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address
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activities relating to 3D/4D X-ray micro-tomography image quantification using machine learning tools. The employment will be at the Department of Solid Mechanics at Lund University and the work will be
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Subject description This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address
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THIS POSITION is based at the SoftiMAX beamline, part of the Imaging group at MAX IV, which encompasses 12-15 people (post-docs, engineers, scientists). Their main task is to aid research and
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This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures is coordinated by LINXS Institute
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position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological imaging
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-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological
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in the area began in the mid-1980s and currently includes (i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine
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these. Documented experience of biophotonics. Documented experience of laser remote sensing. Documented experience of hyperspectral imaging. Independence, responsibility and organizational skills. Social skills
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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