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University Hospital Essen, Collaborative Research Centre 1752 | Essen, Nordrhein Westfalen | Germany | 2 months ago
single-cell multi-omics Artificial intelligence & bioinformatics Translational oncology Open positions available from October 2026 | Remuneration according to TV-L E13 17 PhD positions 2 Postdoctoral
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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12.08.2026, Academic staff The newly established Fundamentals of Programming Group at the Technical University of Munich (TUM) invites applications for - PhD students - Postdoctoral researchers Our
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PhD in one of these areas. Candidates should have an exceptional academic record, a strong background in machine learning, and a robust mathematical foundation. They are also expected to have strong
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the selected person to have the ability and motivation for doctoral studies and to complete a doctoral degree. To be eligible for a full PhD student position, the candidate is required to participate in a
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Theory, Department of Environmental and Energy Sciences. Become a part of the team and contributing to research on current and future mobility service usage and attitudes among car and non-car owners
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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic
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machine learning, with demonstrated experience in developing and training neural networks for predictive modeling. Position Requirements: The successful candidate is expected to: Build and evaluate chemical
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. The successful candidate will be involved in the gravitational wave astronomy research area as part of the GRAVITY research group, within the framework of the project "Ground-based Discovery Machines