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national survey data Participates in development and implementation of population-level disease simulation models to evaluate the impact cost-effectiveness of various health policy interventions on reducing
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on the score of their academic qualifications. VII.VIII -All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX -Jury Composition
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(or equivalent research experience) in computational, statistical, or data-driven modelling Experience working with complex scientific datasets, either from simulations, experiments, or a combination of both
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, and published on https://apply.uc.pt/ . VII.VII- Jury Composition: President: Jorge Fernando Brandão Pereira Effective Members: Ana Maria Antunes Dias and Joana Teixeira Albuquerque Gomes Alternate
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models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt
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microdroplets, microfluidic channels and real porous building materials (limestone and sandstone) under controlled environmental cycling that simulates realistic heritage environments. Using advanced imaging and
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, data-driven control in high dimensions has penetrated many new application areas. Examples include control of autonomous vehicles based on video data, simulation-based prediction of turbulent flows and
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Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere
of magnetic field production in the Sun is not fully understood, although several models based on dynamo theory have been proposed to describe the characteristic features of the solar magnetic field, such as
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fundamental physical model to understand the process of fire spread for wildfires, as part of the European Research Council grant FIREMOD: (https://cordis.europa.eu/project/id/101161183 ). This is a full-time
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be