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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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important for the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally
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projects and scientific studies in the area of Operations Research and Machine Learning. We expect you to complete your dissertation agreement within 12-18 months. You will work on your dissertation and its
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the opportunity to also contribute to our well-established collaboration with the Faculty of Electrical Engineering and Information Technology. Applications such as Machine Learning are driving up computational
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analysis and machine learning for computer vision Excellent communication skills Excellent verbal and written English language skills (German is not required) Our offer Does this sound interesting? This is
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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug
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looking for a dedicated PhD student to join our team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In
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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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and in internationally peer-reviewed journals desired German language skills: C1 level according to CEFR, English proficiency: B2/C1 Relevant computer skills Sense of responsibility, independence