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Field
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. They refer to different levels of human anatomy (e.g. cells, tissues, organs or organ systems). VHTs are built using software models and data and are designed to mimic and predict behavior of their physical
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metabolic design, supported by experimental validation, to predict, create, and expand metabolic capabilities beyond those currently found in nature. Together, these approaches aim to build a generalisable
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solutions for offshore wind turbines, enabling to enhance their structural awareness, real-time reliability assessment, and predictive maintenance decision support through integrated sensing, modelling, and
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Open Date 07/07/2026 Requisition Number PRN45569B Job Title Post Doctoral Fellow (E) Working Title Post Doctoral Fellow in Clinical Prediction and Epidemiology of Diarrheal Diseases Career Progression
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between moisture uptake, glass transition temperature (Tg), and material performance, Development of predictive durability and service-life models for infrastructure applications including rehabilitation
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with
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to cardiovascular risk in Psoriasis and Psoriatic Arthritis: Biomarkers and New predictive tools”, with identification code PI-0226-2025, within IMIBIC research group GC05 “Chronic systemic autoimmune-inflammatory
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to work on AI in mental health. The role will focus on developing predictive models for early detection of mental
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-world healthcare and scientific datasets to develop interpretable predictive models and equations. • Open Science: Curate, maintain, and release large-scale benchmark datasets, repositories, and
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paired with computational biology and machine learning to develop predictive AI models of how cells interpret and respond to the surrounding extracellular matrix. Required Qualifications: We are looking