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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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/machine learning/AI related disciplines German language skills A1 required/recommended, no proof required English language skills C1 required, please provide an official language certificate, e.g
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concepts about biological processes, advance information technologies and human-machine interactions and, last but not least, provide new insight for designing efficient strategies for teaching and learning
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research excellence and the ability to pursue a doctoral degree at TUM Documented experience in machine learning and/or natural language processing with deep knowledge of LLMs, RAG and agent-based AI systems
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of different concepts. This endeavour is typically accompanied by new insights and synergetic effects due to the inherently different viewpoints of the previously separate fields. Our task force on machine
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-of-the-art methods such as optogenetics, connectomics or machine learning. Activate map To activate the map, click on the "Show map" button. We would like to point out that data will be transmitted
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 11 days ago
abilities, religion or age. In case of equal qualifications, preference will be given to applicants with severe disabilities. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning
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are interested in combining disciplinary knowledge with the skills of a data scientist and working at the interface of bioinformatics, medical informatics, databases, data mining, machine learning, applied
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Max Planck Institute of Colloids and Interfaces | Potsdam, Brandenburg | Germany | about 2 months ago
) for Functional Material Design in Summer 2027! We are recruiting doctoral candidates to help shape a resource-efficient future. The candidates will work on individual projects exploring how we can learn from