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Description Start date/duration 15.09.2026 for 4 years Job profile: Your tasks: Dissertation in the field of machine learning and robotics Independent research in the field of machine learning and robotics
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Description Start date/duration 15.09.2026 for 4 years Job profile: Your tasks: Dissertation in the field of machine learning and robotics Independent research in the field of machine learning and robotics
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novel methods and analysis tools for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol
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novel methods and analysis tools for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol
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of metabolism, membrane transport, cellular regulation, structural systems biology, machine learning and disease mechanisms. These positions are embedded in the transition from CeMM in Vienna to the newly founded
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tools (Docker, Kubernetes) is a plus. Familiarity with AI and machine learning concepts, and a basic understanding of natural language processing (NLP) and data analysis. Basic understanding of OSINT
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qualifications The successful candidate is expected to possess expertise in one or more of the following fields: Data Visualization and Visual Analytics, Data Mining, Statistics, Machine Learning, Explainable AI
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scattering and direct dark matter detection, using advanced cryogenic detectors. The MBI hosts a research group dedicated to Machine Learning in Particle Physics. Qualifications: PhD in Particle Physics
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, information visualization and/or human-computer interaction Publications and dissemination of research findings (in journals and at conferences) Active participation in institute’s fund-raising enveadors Active
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on applying computational methods to psychological and clinical domains, especially large language models, natural language processing, machine learning, and statistical modeling for the analysis