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of relevant experience Ability to use statistical analysis, simulations, predictive modeling, or other methods to analyze information and develop solutions that support the university's mission Advanced
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theory-driven models of cognition and neural activities and data-driven predictive modeling for precision medicine. In addition to our core research questions and mission, the unit will also serve as a
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, biomedical data science, digital health, epidemiology, and environmental health. The position focuses on the development, validation, and interpretation of AI models for health risk prediction using
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medical education, program evaluation, and strategic decision-making. This position extracts, integrates, and analyzes data from multiple sources; develops predictive models and conducts statistical
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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. Developing predictive models for precision oncology: We leverage large-scale multimodal datasets, including molecular profiling, clinical records, imaging, and longitudinal treatment histories, to develop
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behaviour for system monitoring, state estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate
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Research Studentships (for students of a Master or Integrated Master students) - (BL139/2026-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 4 days agoan existing combined ray-tracing optical and 1D steady-state thermal model, with a model of a photoreactor (interaction of radiation with a participating medium) to predict and optimize the system's overall
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prediction and treatment-response modelling. The researcher will collaborate closely with computational scientists, breast pathologists, radiologists and molecular researchers across the international M4GIC
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that compromise cellular viability. Proteostatic decline is not merely a consequence of aging but an early, causal event whereby loss of proteostasis precedes and predicts organismal decline, and its onset is