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well as integrating the division’s activities with those of the department, School of Medicine, and University of Missouri. Our Clinical Model The practice is a well-established clinic currently staffed by one board
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(PDEs) and modelling with PDEs. The applicant’s research focus must be a specialisation in numerical analysis for PDEs. The specialisation should both strengthen the division’s current research in
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(SustainCARE, https://doi.org/10.3030/101220359 ), led by Dr. Yun Liu. SustainCARE brings together heritage science, building physics, advanced modelling, and climate-conscious preservation, offering a unique
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, scikit-learn, numpy) Experience with large language model APIs (OpenAI GPT-4, Claude, or similar) Demonstrated ability to design and implement NLP pipelines Understanding of evaluation metrics (precision
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adversity exposures across the lifespan, with a focus on bereavement as currently funded by a 5-year R01from the National Institute of Mental Health (NIMH) to conduct research on the effects of social
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Website: https://med.stanford.edu/stankovic-lab.html (link is external) https://hellerlab-stanford.net/ (link is external) How to Submit Application Materials: Please send the following materials in a
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Job description: DESY The European XFEL is currently the world's most powerful free-electron laser and has, over the past decade, significantly advanced the ability to resolve the structure of matter
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transcriptomics and multi‑omics data. You will also partner with AI experts to integrate predictive models and advanced analytics into omics workflows. You will work in an expanding team led by Dr. Masoomeh
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levels. This position offers the opportunity to work at the interface of cardiovascular biology and immunology, with access to advanced in vivo models, flow cytometry and immune phenotyping platforms, and
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emerging offshore wind sector needs. You will receive in-house training on multiphase DEM–LBM modelling and code development using the HYBIRD framework within the Geotechnical Engineering Group. Additional