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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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Minds lab is seeking a Postdoctoral Fellow with training and proficiency in artificial intelligence, and generative modeling. Successful candidates will have significant experience in computational
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entitled “The Dynamics of Pregnancy: Integrating Imaging, wearables, and modelling to uncover Maternal-Placental-Fetal Interactions”. The overall aim of the project is to identify risk markers associated
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 2 months ago
scope of the HOOPLA with the financial support of FCT/MCTES, under the following conditions: Scientific area: Master’s degree in mechanical engineering. Work plan: Development of Meso-Scale Models
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and refactoring the seL4 Isabelle/HOL proof base. The Surrey positions are full-time fixed-term until November 2027. We have substantial funding for access to state-of-the-art AI models and computing
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. Current projects integrate mechanistic molecular biology, mouse models, and cutting-edge multiomic analyses of human tissues to uncover epithelial gene regulatory networks and translate these discoveries
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project. · Architect and evaluate multi-site cardiotoxicity risk prediction models integrating structured EHRs, clinical notes via natural language processing, strain echocardiography features, and
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tissue culture, animal models, high-parameter flow cytometry, spatial transcriptomics or proteomics, and cell gene engineering techniques is desired, but not required. This is an outstanding opportunity
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people who discover them The Opportunity Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims