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-Checking, Argument Mining, Automated Planning, and Decision-Making. Training, domain adaptation, and evaluation of cutting-edge LLMs and Multi-Modal models in the cloud and on premise. Software Engineering
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10.01.2022, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d) for performing fundamental research in the frame of the project DrawOn funded by the Bavarian...
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PhD position in interpretable machine learning for dementia prediction. The project focuses on developing interpretable deep learning models for dementia prediction using multi-modal data, including MRI
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robotic sample retrieval system that will be able to obtain surface swabbing samples of critical infrastructure buildings for chemical or biological analysis. The cohort of PhD students are spread around
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distribution analysis with collaborators at the University of Ljubljana in Slovenia. Data analysis and manuscript preparation. Presenting results at international conferences. Training Master’s and Bachelor's
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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(HARMONY). The selected candidate is expected to review existing literature, conduct focus groups with young adult social media users, and contribute to an analysis of health-related media content targeted
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, econometrics, and functional analysis is a plus) • Proficiency in English • Expertise in experimental research is a plus We offer... • The opportunity to conduct innovative research with a global impact • Access
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immunomodulatory factors (de Almeida et al. Sci Immunol 2022, Chao et al. Nat Immunol 2023, Soll et. al Nat Immunol 2024). We use novel cutting-edge technologies in the area of high-dimensional single-cell analysis