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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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scientists are expressly encouraged to apply. Applications Please send your applications to Jürgen Hauer via email (juergen.hauer@tum.de) until December 1st 2025. The position is suitable for disabled persons
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accessible to users from science and industry Your qualifications: ■ Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science
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doctoral network and undertake an interdisciplinary PhD project with the Plant Ecophysiology group at the TUM School of Life Sciences FutureForests aims to train next generation scientists in assessing
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scientists and development economists. Our main research aims are to design and evaluate strategies to improve the quality and use of preventive health care services in low- and middle-income countries. We
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in-situ experimental data to the landscape scale. Doing so, you will address questions of climate change impacts on meteorological extremes, phenology of selected forest tree and animal species and
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experience in remote sensing and programming is a plus (e.g., using QGIS or R) Good communication skills Ability to work in a team Your tasks You will conduct research on the use of remote sensing data
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the perspective towards generating data for entrepreneurial seed funding (GO-Bio etc.) for a further development of the technology towards the market. In that sense we also highly encourage candidates that would be
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, natural hazards management or related fields Interested in protective forests and their management Good quantitative skills (e.g., data analysis, simulation modelling, remote sensing) Good communication
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, technology-focused research environment with an international team of scientists and researchers at TUM, working on superconducting quantum circuits, hybrid quantum systems, and magnetic materials. ▪ A dynamic