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hardware. Building a low-latency query API that returns the end-to-end energy cost of an AI service. What you will deliver: Validated models with less than 10% prediction error on the Aalto and Ericsson
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Danfoss, you will combine thermofluid modelling, reduced-order multiphysics methods, and nonlinear rotor dynamics analysis to develop predictive modelling tools that support the industrial design of
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applicants will have the unique opportunity to work in an interdisciplinary team at UCC and abroad, participate in field trips to Lough Hyne, develop predictive and data-driven theoretical models for real
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The main objective of the project is to develop novel, interpretable predictive models for response to immunotherapy in patients with advanced melanoma, based on the functional activity of gut fungi
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-resilient rainwater harvesting solutions by combining field sampling, innovative treatment testing, and predictive modelling to make decentralized urban water reuse safe and sustainable Are you passionate
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and computational analysis, predictive modeling, data interpretation, and development of reproducible analytical workflows. The position contributes to research study development, manuscripts, grant
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About us The UCL Bioinformatics Group is well-known for developing a widely-used suite of web-based tools based on a number of cutting edge protein structure prediction methods. Our web services
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geochemical alteration occurs, and the associated uncertainty in predicting reservoir behaviour. This will be done with laboratory investigations and geochemical modelling. Specifically, you will: Characterise
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into these models. · Work with wet-lab biologists to design and implement appropriate experiments for collaborative work on model training, validation, and follow-up testing of predictions. · Explore
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cancer genetics, cancer risk prediction, diagnostic accuracy studies, calibration/discrimination or multivariable risk modelling Experience integrating genomic data with clinical, epidemiological