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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based
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for Philosophy of Machine Learning for Science (m/w/d) to commence as soon as possible. The tenure-track position is embedded in the Cluster of Excellence “Machine Learning: New Perspectives for Science
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imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP, BLIP), fine-tuning large language models for clinical NLP, and self
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comparative analysis of machine learning algorithms. Furthermore, we will explore the ensemble learning strategies to achieve more confident results. Ultimately, we will explore other approaches to data
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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will lead our Independent Verification and Validation (IV&V) and Data Curation Center of Excellence. This team serves as the foundation for effective machine learning—building, curating, and governing
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and at most 17 hours. Be part of change CAE modelling and numerical simulation (e.g. sheet metal forming processes using ABAQUS, etc) Develop data-driven and machine learning-based models to improve
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking a Machine Learning Research Scientist who
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faculty position at the interface between machine learning and physics. Applicants will be considered at all ranks. We anticipate hiring faculty working on advancing machine learning methodology as applied