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Maritime Ltd and the University of Southampton. Find out more about Knowledge Transfer Partnerships here: https://www.ktp-uk.org/ Compute Maritime Ltd is a London-based deep-tech company bringing
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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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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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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
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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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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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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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: 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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, 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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logging into their existing Workday employee account. Position Summary: The Postdoctoral Fellow will conduct coupled physical-biogeochemical modeling to understand harmful algal blooms (HABs) in subtropical