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Cognitive Science, Medical Informatics, or a comparable quantitative discipline Proven hands-on experience working with LLMs, foundation models, multimodal AI systems, or related machine-learning technologies
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, including gas turbines and combustion engines. We combine advanced computational fluid dynamics, theory, machine learning, high-performance computing, and experimental methods to investigate and model complex
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, interdisciplinary and international research environment, providing state-of-the-art experimental equipment and versatile opportunities to grow as a curious researcher. Knowledge & further training: Comprehensive
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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning
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and is associated with the management of the Institute's own 500 m² clean room facilities (https://www.igm.uni-stuttgart.de/en/research/clean_room_lab/ ). We are looking for an individual with
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machines Machine Culture Ongoing work on social reinforcement learning and evolutionary optimization of social strategies Our aim is to advance the scientific knowledge of human-AI systems by understanding
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students regulate their learning across a semester: how they adapt their study behavior in response to performance feedback, when and why they disengage from cognitively demanding strategies such as
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, and as scientific papers Contribute to educational events, such as courses and hackathons Your Profile Broad knowledge and practical experience in AI and applied Machine Learning is a must Excellent
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and the natural sciences. The Faculty of Mathematics, Informatics and Statistics invites applications for a Junior Professorship (W1) (for a period of 3 years) of Mathematics of Machine Learning
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mass spectrometry and machine learning. Website: https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/index.html Job description: - Recording of cation and anion mass spectra for a data base of