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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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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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-related activities and coordination tasks • Ongoing literature review, and preparation of reports, presentations, and scientific manuscripts Requirements and desired expertise: The ideal applicant should
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Science, Transportation Research Part B, or conferences such as SIGKDD, ITSC, CIKM) Strong programming skills in Python Strong interest in scientific research with the goal of obtaining a doctoral degree
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18.08.2025, Wissenschaftliches Personal As part of a Hans Fischer Senior fellowship, this project—co-supervised by experts from TUM, the University of Bristol, and Deutsches Geodätisches
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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
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the future of healthcare, science, technology, society, and the environment. Our mission encompasses both theoretical and empirical methods to foster ethical, transparent, and interdisciplinary research
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://www.translatum.tum.de https://www.pioneercampus.de https://www.linkedin.com/company/munichimaging/ https://www.facebook.com/MunichImaging https://twitter.com/MunichImaging The position is suitable for disabled persons
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and networking opportunities within the Munich AI ecosystem and within structured graduate programs: the Munich Centre for Machine Learning (MCML), the Munich Data Science Institute (MDSI), the local
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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