17 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Graz University of Technology in Austria
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Prior teaching experience Admission Requirements Completed master's or diploma degree in Computer Science or equivalent fields of study with a focus on Data Visualization or Human–Computer Interaction
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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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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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@tugraz.at Where to apply E-mail dekarch@tugraz.at Website https://jobs.tugraz.at/en/jobs/19eaafff-2be8-1522-ecfc-68dd0a867216/apply Requirements Research FieldArchitectureEducation LevelMaster Degree
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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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: 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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-university committees, and to acquire third-party funding projects. Your Profile Interest in the field of geoinformation, GIScience, and GeoAI. Teaching skills. Willingness to programme in Python. Willingness
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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