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attention to establishing in vitro–in vivo correlations. The project will define harmonised testing protocols and acceptance criteria for microneedle systems and integrate these into predictive modelling
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communication. Move beyond descriptive ligand–receptor analysis to models that predict and help understand how cells react to signaling cues. ● Joint models of regulation and dynamics. Flow- and diffusion-based
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: Collect and critically analyze relevant literature Build and analyze models for predicting dynamic trickle bed reactor operations, including material and energy balances, reaction kinetics, mass and heat
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analysis projects that interrogate the mechanisms behind hormonal rhythm misalignment. The research will be closely integrated with mathematical models that predict dynamic responses to perturbations (e.g
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Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure
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experimental approaches with computational modeling to investigate how RNA-mediated alterations contribute to early neurodegeneration in Alzheimer's Disease. The student will use iPSC-derived models and single
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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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inhibitors and radiotherapy; - functional validation in PDTO and PDX models; - investigation of mechanisms of treatment resistance; - identification of molecular determinants and predictive biomarkers
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, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering