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an interdisciplinary career skills programme across Europe. The Technical University of Munich (TUM) is one of the best universities in Europe. It is characterised by excellence in research and teaching
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to the following programs and mention Niki Kilbertus as possible supervisor: If you plan to start before May 2026 (and only then), send your application as a single PDF in English to niki.kilbertus@tum.de with
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, or a related discipline Interested in climatology/meteorology as well as quantitative methods Prior experience in programming is a plus (e.g., using R or Python) Good communication skills and a high
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: Completed master studies in the field of environmental sciences, forestry, landscape ecology, remote sensing or related fields Interested in remote sensing, quantitative methods and programming Prior
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dedicated to interdisciplinary research in the fields of Data Science and Artificial Intelligence and their applications in business and society. Our goal is to create direct value for science, businesses
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to: https://bonaldli.github.io/ Application process We look forward to receiving your application documents (one-page letter outlining your motivation and research plan, transcripts of records, CV
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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tools (e.g., Python programming) is an advantage. You enjoy working in an international team and have good communication skills. Proficiency in spoken and written English is required. For more information
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participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with
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that are technically well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster