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cladding processes, including parameter optimisation and advanced monitoring techniques. Develop and refine process models, simulations, and automation strategies. Characterise microstructure, wear behaviour
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foundational models to describe IDP interactions under various physiological conditions, both normal and cancer related Use these models to iteratively design, validate, and refine experiments, leading
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of stems cells and primary lymphocytes and should also have extensive experience with genetic editing techniques, regulatory T-cell phenotyping and functional assays, as well as in vivo murine models
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interdisciplinary approaches that combine advanced microscopy (confocal, electron, in vivo multi-photon), viral vectors, protein engineering, mouse models, and multi-omics analyses. For further information on the lab
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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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countries leading national decarbonization modeling studies inspired by the NZA study. Currently, Princeton is collaborating on NZx studies at various stages of development in Brazil, China, India, and
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or other community organizations • Familiarity with statistical modeling (e.g. use of structural equation modeling, hierarchical linear modeling, regression analyses). • Interpersonal skills that foster
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
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-$60,000 Type of Position Student Position Time Status Full-Time Required Education PhD Required Related Experience N/A Required License/Registration/Certification N/A Physical Requirements Check all
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We are seeking a highly motivated postdoctoral researcher to conduct independent research on foundation models for scientific and engineering applications, with an emphasis on training, adaptation