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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 19 days ago
German level (C1) • Experience and skills in the application of modern imaging technologies (e.g. µCT methods) in the representation of biological processes in infection medicine) Main Research Field
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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) milling. This programme will involve state-of-the-art imaging approaches to visualise molecular details of the intricate relationships between chromatin and nuclear condensates. The successful candidate
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | about 2 months ago
. - Computer operating/programming skills: Microsoft Office Suite, C++, Labview, Matlab, COMSOL, IDL, Python or other programs for data and image processing; A high level of intellectual curiosity, analytical
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of bioinformatics and computational biology. The lab’s research program focuses on developing computational methods for high-throughput genomics technologies and integrating data science and experimental approaches
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Bold. Position Description: Support research projects focused on virtual imaging trials, computational modeling, and imaging technology evaluation. Manage, curate, and analyze experimental and simulation
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open-source tools with high performance computing for developing a prototype acquisition and reconstruction package. The Research Professional will also be involved with and test any combination
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, operation, repair, and tuning of technology systems. Advanced experience writing and editing the most complex scripts used to perform system maintenance and administration. Advanced knowledge of computer
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Area: Computer Vision Group: Pattern and Image Analysis Work Objectives: In terms of deep learning architectures for object detection, particular attention will be given to the analysis of performance
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Engineering, Biomechanics, Computer Science, or related field Preferred Experience: Experience with machine learning in medical imaging/biomechanics; grant writing support; clinical gait analysis in clinical