59 web-programmer-developer-"Prof" PhD scholarships at Technical University of Munich
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general. The successful candidate will join the newly established Heisenberg group “Evolution of chemical communication” (PD Dr. Jan Buellesbach) at the Plant-Insect Interactions group (Prof. Sara D
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Sustainable Decision Making (Prof. Dr. Clemens Thielen), which is located at the TUM Campus Straubing for Biotechnology and Sustainability (TUMCS) and affiliated with the Department of Mathematics. The expected
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university Heidelberg (Prof. Dr. Skyler Degenkolb) seek to bring quantum sensing methods into precision neutron science, further extending the power and reach of these measurements. Innovative new devices can
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
31.07.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, is inviting applications for a fully funded PhD position at the Technical University
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developing NLP applications. Proficiency in Software Engineering and Data Science techniques. High motivation to create innovative NLP solutions addressing business, medical and societal needs in collaboration
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to remote sensing and simu-lation modeling. A particular focus of our work is on mountain forest ecosystems. A quantitative understanding of ecosystem dynamics provides the foundation for the development
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota
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sensor fusion in close collaboration with industrial and university partners. Additionally, it includes supporting project applications and contributing to the Chair's development initiatives. The position
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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regeneration in the forest interior“we aim to develop innovative remote sensing approaches to enhance the mechanistic understanding of the effects of increasing forest disturbances on closed canopy forests