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future change), which utilises the geological record of glacial change during the last glacial-interglacial transition to isolate seasonal climate parameters needed for modelling future climate. The
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animal models, advancing next-generation in vitro and in silico New Approach Methodologies for complex brain disorders. We will host the successful candidate at the Department of Forensic and
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retinal degeneration in the context of ciliopathies, with a particular focus on Alström syndrome, using both in vivo models (particularly murine models) and in vitro systems (fibroblasts, iPSCs, retinal
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and regression and/or choice models to identify the determinants of private label acceptance and their relationship to sustainable consumption and waste. The output of the work will be a model of the
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-validated, enabling the conceptual extension of the model toward bilateral CI hearing. Work Plan During the first six months, the work will be structured around four main axes. (1) Computational modelling
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Deciphering Streptococcus dysgalactiae subsp. equisimilis Population Genomics and Host-Pathogen Interactions using Advanced 3D Tissue Engineered Infection Models School of Biosciences PhD Research
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systems. Position Responsibilities Architect and implement large-scale, georeferenced 3D digital twin models Develop computational pipelines for integrating vector, raster, terrain, LiDAR, and
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agenda on multimodal and multilingual language models. The successful candidate will focus on the development of multimodal, multilingual resources and on the design and evaluation of methods that leverage
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Researcher will conduct research on the dissection of the interplay between metabolism and epigenetics in T-cell Acute Lymphoblastic Leukemia (T-ALL) and additional leukemias using mouse models. The Visiting
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be negotiated based on the selected candidate's availability. Group or Departmental Website: https://we3lab.stanford.edu/ (link is external) How to Submit Application Materials: Please apply via