75 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Technical University of Munich
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Bayesian machine learning to improve risk management for bridge portfolios. We offer a funded PhD position in an excellent research environment. The project Our infrastructure is aging, and decisions about
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[maps] and the TUM Garching campus [maps], and all members are affiliated with both institutes. As a PhD candidate in our group, you will drive your own research on machine learning methods in close
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in a field related to one of the three research areas of MCML: Foundations of Machine Learning; Perception, Vision, and NLP; and Domain-Specific Machine Learning. The Munich Center for Machine
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. Within this broader framework, the advertised PhD project focuses on leveraging EO data and causal machine learning to systematically uncover the drivers of urban flooding and quantify their impacts
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expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and
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interactions. We are looking for a highly motivated PhD student (m/f/d) to join us as soon as possible. Your tasks – In this project, you will design and study thermoplastic elastomers whose mechanical
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Requirements: Applicants should hold an MSc or Diploma in Engineering, Computer Science or a related discipline. Background in Machine Learning and Artificial Intelligence. Strong programming skills (Python
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. To strengthen our research groups Food Biopolymer Chemistry and Mechanoreceptors we are currently looking for a committed PhD Student to start as soon as possible. The position is part-time (TV-L 13, 65%) and
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Munich in Germany invites applications for a PhD position (m/f/d) on hybrid-variable quantum microwave communication. The Walther-Meißner-Institut (WMI, www.wmi.badw.de) of the Bavarian Academy of Sciences
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academic assignments at the chair What we look for in you Completed master’s degree in computer science, transportation, or related engineering fields Solid background in generative AI, machine learning, and