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microbiome. Your future tasks: Within a 3 months frame, we want you to 1. Analyze and integrate datasets (soil chemistry, plant metabolites, and microbiome data). 2. Investigate the functional role
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research on the development of data-based IT solutions for various application scenarios, including the design of new and innovative solutions supporting communities in increasing their resilience and
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research on the development of data-based IT solutions for various application scenarios, including the design of new and innovative solutions supporting communities in increasing their resilience and
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), robustness and flexibility. We cover the whole data processing chain including image capture, computational imaging and classification with classical and AI methods. You will develop concepts, specifications
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the administrative team around Gudrun Kretzschmar and, above all, to become even better at what you can already do? Then we are looking forward to you and your meaningful application: with a short cover letter, a CV
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14 Mar 2025 Job Information Organisation/Company TU Wien Department Department of Geodesy and Geoinformation Research Field Geosciences » Other Environmental science » Natural resources management
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Degree or equivalent Additional Information Selection process Please send your application (including CV, information about BSc- and MSc-grades, cover letter and list with names of potential references
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multicultural environment with a high standard of living, repeatedly ranked as the world's most livable city (Mercer and Economist rankings). Childcare facilities are available on campus. For further information
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Sciences focuses on developing computer-based approaches, particularly chemoinformatics, molecular modeling and machine learning methods, to predict the biological, medical and toxicological properties
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Scientist (f/m/d) for System Transition Modelling & Policy (Full time / Part-Time: 25+ hours / week)
transformation. Your qualifications as an Ingenious Partner: PhD inrelevant social, economic, data science or related fields Interdisciplinary knowledge of transformation-oriented research, and in particular