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Field
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wireless system. Analyse experimental measurements using MATLAB, Python or equivalent computational tools. Compare experimental measurements with modelling or theoretical predictions generated by the wider
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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
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to inform novel parameterisations which will ultimately be integrated into meso-scale weather models to aid in the design and performance prediction of future multi-gigawatt offshore wind installations. PhD
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
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microbial functions with soil parameters - Functional C and N processes, modeling microbiome patterns, and determining ecological indicators for assessing habitat condition - Ecological statistical analyses
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
computational modelling and simulation in engineering, including numerical methods, finite element analysis, constitutive models, response prediction, or digital twins (0–4 points); Experience in computational
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mHealth systems integrating smartphones and wireless sensors with signal processing algorithms and artificial intelligence (AI) models for unobtrusive sleep apnea detection, multi-night monitoring
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proteomics Bioinformatic data integration and development of predictive biomarker models Clinical validation of findings using patient cohorts from both institutions Regular scientific exchange and
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refines algorithms and workflows for crop and pasture monitoring, modeling, prediction, and decision support and automation; Supervises graduate research assistants and student interns working
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with mainstream industrial software/systems (e.g., DCS, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas