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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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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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learning models on wearable electronic circuits, devices, and platforms, with particular emphasis on smart eyewear. The research activities will address multiple application domains, including embedded
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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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effects, never observed before in an experimental setting, through numerical modelling and laboratory experiments. This PhD thesis is part of a collaboration with the École Normale Supérieure de Lyon and
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-based techniques (e.g., deep neural networks) will be used to automatically learn the system dynamics and the modelling errors, as well as to obtain an automatic tuning of the cost parameters/constraints
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minimum of 12 months Appointment Start Date: Early/mid 2026 Group or Departmental Website: https://evodesign.org/ (link is external) How to Submit Application Materials: Please directly contact us at
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Overview The Health Economics and Decision Science (HEDS) section in the School of Medicine & Population Health is seeking to appoint a Research Associate in Health Economic Modelling. You will
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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
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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