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- Łukasiewicz Research Network - Krakow Institute of Technology
- Centro de Engenharia Biológica da Universidade do Minho
- Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida)
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- Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho
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translational model based on patient-derived tumour organoids that reproduce the realistic microanatomy of the tumour. These organoids will be used for translational testing of nanotherapeutic activity
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model derived from tissues obtained from cancer patients and reflecting realistic tumor microanatomy. The organoids will be used for translational testing of nanomedicine activity, help predict patient
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for the prediction of enzymatic activities and reactions from amino acid sequences; (ii) validation and extension of models and tools for the prediction of activities and properties of natural compounds; (iii
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. Characterise experimentally WAAM-produced samples to provide data for model calibration and validation. Optimise process parameters using numerical simulations and Machine Learning-based predictive models
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understand why species and populations differ in their vulnerability, so that research can inform conservation, management, and policy. However, we still cannot reliably predict how climate change will affect
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intelligence techniques and innovative computational tools, contributing to the development of new biomarkers and predictive models applicable to clinical practice. Some of the tasks you will perform
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 2 months ago
submit in the application process a Declaration of Honor regarding the benefited Research Fellowships, issued as defined in the model attached to the present public notice, in order to assess whether
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help industrial firms use operational data in new ways, for example to improve fuel efficiency, support predictive maintenance, enhance safety, reduce emissions and optimize the use of resources. In