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, identify populations at increased risk for severe respiratory illness, estimate disease burden, and inform public health planning and decision-making. As part of this research opportunity, you will gain
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model; (iii) database preparation; (iv) empirical analysis, including econometric estimation, structural model calibration, and simulations; and (v) preparation of the study manuscript in co-authorship
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30 Jul 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions
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, clinical cohort analysis, and patient-reported outcome methods to improve understanding of ME/CFS and related infection-associated chronic conditions and illnesses (IACCIs). Research Project: A research
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machine learning methods, including cluster analysis and predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications
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, gaining exposure to public health research, evaluation, and scientific operations that support agency priorities. The participant will strengthen skills in epidemiologic methods, scientific literature
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learning methods for process automation within SharePoint and Microsoft enterprise platforms. Under the guidance of a mentor, the participant will explore research approaches related to large language model
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systematic literature review, study design, and analysis of environmental health and exposure data while gaining experience applying epidemiologic, exposure-assessment, and biostatistical methods relevant
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with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large
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Radiology faculty collaborator, to define and address clinically meaningful research problems. • Design, implement, and evaluate machine learning and AI methods for medical imaging using real-world clinical