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, education, and transportation due to diverse systems, formats, and policies. This 24-month post-doctoral project aims to design and implement innovative solutions, such as lakehouse architectures, to enable
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the stratigraphic and thermal evolution of foreland basins. The study area is the Aquitaine Basin, the retro-foreland of the Pyrenean Orogen whose sediment routing systems, stratigraphic architecture, and thermal
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ideal for a researcher who possesses working fluency across both computational AI architectures and physical lab automation. We are seeking someone with an eagerness to master missing domains and a strong
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Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment rate varies
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communicate the results through publications and presentations. Supervise master's and/or PhD students to a certain extent, with the possibility to engage in teaching at undergraduate/master's level. The
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pretraining and downstream predictive and generative applications. Your main responsibilities are to: design, implement and benchmark foundation-model architectures for microbiome data, including transformer
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downstream predictive and generative applications. Your main responsibilities are to: • design, implement and benchmark foundation-model architectures for microbiome data, including transformer-based and
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cell models. Process human or mouse tissues and isolate, culture, and characterize primary cells. Develop bioengineered tissue models using hydrogels, microfluidics, organ-on-chip technologies
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, linear mixed models, or deep learning architectures). A solid theoretical background in literacy development, child language acquisition, or psycholinguistics. A record of academic publishing and high
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assist the Principal Investigator Dr. Steven Skiena in the Department of Computer Science at Stony Brook University. The incumbent will conduct cutting-edge research at the intersection of AI/ML and