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wearables. Electrical equivalent–based models will be developed to support the analysis of the performance of individual elements and multi-transducer configurations. Based on the derived models, signal
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waste volumes, with the aim of estimating the severity and evolution of the phenomenon. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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real-world constraints, including noisy data, limited labels, and computational efficiency. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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: “Towards a trustworthy strategic use of data in machine learning pipelines”. CUP: D53C25002380001. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079
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strategic use of data in machine learning pipelines”. CUP: D53C25002380001. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
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collaborative activities with the clinical institutions involved in the project Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
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system optimisation models. The proposed methodologies will enable a systematic evaluation of system performance, investment trade-offs, and resilience under extreme but plausible drought conditions
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of interpreting electrophysiological signals generated by the Spinal+ system. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information
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platforms for advanced organotypic cell culture to generate human physiological and pathological models. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will be required to perform fracture mechanics tests on a set of