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are shaping the technologies and processes for the future of digital production, packaging and scanning technology and many other laser-based applications, e.g. 3D printing and laser fusion. Are you looking
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application-inspired. In our Department System Process Engineering, we are seeking for a Post Doc (m/f/d) – 100 % in non-invasive measurement methods for process and quality control During agricultural-related
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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, imaging and material characterization applications (THz sensor technology) Leadership position for the “THz Components & Systems” lab at the Ferdinand-Braun-Institut, Leibniz-Institut für
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
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advances to support life science research. EMBL has been at the forefront of numerous engineering and microscopy breakthroughs, significantly advancing imaging technologies and enabling new biological
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of a prototype software module that automatically generates feedback in the defined format from the selected metrics and tests. Quantitative and qualitative evaluation of the feedback process by