21 data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Technical University of Munich
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: clarimma.sessa@tum.de More Information https://www.arc.ed.tum.de/en/rkk
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. Involvement in immunology projects with single-cell transcriptomic data analysis. Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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(especially LLMs / VLMs) Human-AI Interaction Or Bring-your-Own research topic Who We Are Looking For: We seek highly motivated and talented individuals passionate about AI, Human-Computer Interaction, Eye
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
11.02.2022, Wissenschaftliches Personal The Chair of Information-oriented Control (ITR) offers a PhD/PostDoc position within the 6G-life Research-Hub „Digital transformation and sovereignty
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Chair of Biological Imaging 10.02.2026, Academic staff We now seek a highly qualified and motivated Post-doctoral researcher (f/m/d) to drive the development of methods for optoacoustic data
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for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position
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the VIOLET research framework Work closely with clinicians and data scientists to ensure the developed systems meet clinical needs and are validated against real-world scenarios Mentor and supervise PhD
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Robot Learning (ID: TUEILSY-POSTDOC20251219-RL) Robots that learn from data promise greater autonomy and performance, but their deployment in the real world hinges on the ability to guarantee safety
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, including quantitative, qualitative, and experimental approaches. Ideally, experience with Python, Stata, or R. • demonstrates proficiency in data collection, processing, and analysis, preferably using