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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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(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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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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, 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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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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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
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models, supporting pioneering research at the interface of experimental rock physics, geochemistry, and reactive flow modelling. This project contributes to the development of sustainable approaches
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 1 month ago
? No Offer Description Scientific overview: This PhD thesis aims at studying the impacts of climate change-induced permafrost thaw in the Arctic, by using advanced thermo-hydro-mechanical (THM) modelling