7 machine-learning "https:" "https:" "https:" positions at Graz University of Technology
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equivalent fields of study. Position 1: In-depth knowledge in the areas of Biomedical Visualization, Biomechanics, Machine Learning, Development of Server/Client Applikationen, Daten Management. Position 2: In
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analyses, data science, and machine learning Execution of case studies and energy-economic analyses Preparation of project presentations and reports; scientific publications in national and international
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using machine learning and state-of-the-art DFT and DFPT code-packages. The project will be performed in close collaboration with various research groups in the UK and USA. Research and performing
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Immunology, Bioinformatics of Microbes and Microbiomes, Computational Pathology, Machine Learning/Deep Learning in Bioinformatic Data Analysis, Bioinformatics in Clinical Applications. The professorship will
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Responsibilities Conduct and disseminate research on human-computer interaction, with interest and focus on considering learning aspects in design; or in educational technology with interest and focus on interaction
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: DC7: Machine-learning-guided enzyme engineering for improved activity of enzymes to produce biopolymer precursors. DC9: Machine learning-guided enzyme engineering for improved lactone production
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environment with more than 70 researchers active in the fields of computer graphics, computer vision, image processing, visualization, virtual, mixed and augmented reality, and machine learning for visual