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, Data Science, or a closely related discipline Strong interest in interdisciplinary research at the interface of Artificial Intelligence, Data Science, and Life Sciences Excellent programming skills
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PhD position in interpretable machine learning for dementia prediction. The project focuses on developing interpretable deep learning models for dementia prediction using multi-modal data, including MRI
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-situ measurement network and perform terrestrial laser scanning, analyzing microclimate data and their relation to forest structure, and using optical satellite time series and radiative transfer models
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starting in 2025 within the TUM School of Life Sciences. The group is committed to uncovering mechanisms by which crop plants can increase the uptake of micronutrients from the soil and transfer them
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School of Science and Engineering (IGSSE) at TUM: link . Research topic: Energy system models play a crucial role when it comes to designing future sustainable and resilient energy systems. Climate change
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its affiliation to the Technical University of Munich (TUM), deals with the multifaceted interactions between politics, society, business and technology in research, teaching and practice. It was
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, studying health-related (mis-)information on social media and its impact on young adults. The position includes international research collaboration, methodological training, and a supportive work
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at international conferences Contribution to the education of students and thus support of our educational mission. Requirements: Above average Master’s degree in engineering, applied mathematics, physics
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economics, mathematics, business/management, physics, psychology, IT, or related fields • Outstanding quantitative skills (profound knowledge of stochastics and calculus is mandatory; knowledge of game theory
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role in determining which plants are visited by bees for food collection and how they affect bee health and fitness. In particular pollen chemistry additionally affects the bees’ resistance to pathogens