21 programming-"https:" "https:" "https:" "https:" "https:" uni jobs at Technical University of Munich
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matter or microplastic (https://doi.org/10.1016/j.ijbiomac.2026.151566), or when the molecular compositon of mucus is changed in the context of pathological conditions (https://doi.org/10.1021/acs.biomac
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or microplastic (https://doi.org/10.1016/j.ijbiomac.2026.151566 ), or when the molecular compositon of mucus is changed in the context of pathological conditions (https://doi.org/10.1021/acs.biomac.4c01629
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visionary doctoral program with high socio-economic relevance on the topic of “The Proteomes that Feed the World” with the aims to train and develop future leaders in science who excel in research, management
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leading innovation education programs, shaping courses, strategy, and research on a topic you choose, starting September 2026. CDTM has educated interdisciplinary innovators for over 27 years, producing
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research-supporting staff in project administration and technical manufacturing · Comprehensive personnel development program and an exciting research environment within a dedicated, international team
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independently, willingness to learn and acquire new skills Interest in working in a highly international research team A background in modern data science is required Very good programming skills (Python, C
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, or a related field. We expect knowledge of mathematical modeling, numerical simulation, or control engineering, as well as programming experience, for example in Matlab or Python. Initial experience with
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have skills in CAD modelling, geometry processing, and programming, as well as prior knowledge in digital fabrication. Finally, you are fluent in English (German skills are welcome but not mandatory
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learning is required; familiarity with contrastive learning, computer vision, or geospatial data is welcome Very good programming skills (Python, C++, etc.) are essential Fluent English language skills
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learning • Programming skills (e.g., Python, R) • Interest in interdisciplinary research at the intersection of data analysis and learning sciences • Interest in education and learning as an