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for clinical AI based on patient data from heterogeneous sources notably language/speech-based sources. The activity will focus on the development of a prototype implementation of early warning- and other AI
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take place in the Quantitative Radiomolecular Imaging & Therapy lab (Qurit.ca) with the guidance and support of Drs. Arman Rahmim, Carlos Uribe, and other members of the lab. The fellow will collaborate with
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of videos/images already collected in a real environment at the Hospital da Misericórdia da Mealhada and which will be made available; definition of accuracy and latency metrics. 3) Implementation and
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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
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, functional MRI, diffusion-weighted imaging, and EEG, in combination with genetic data (GWAS, bioinformatics) from large-scale population cohorts. Positioned at the intersection of biological psychology
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
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view of multimodal information processing including the development of neural models for language and image using deep learning technology, with particular focus on the Portuguese language; 2
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three references and their contact information A link to GitHub repos for relevant code (optional) Starting salaries will vary depending upon the qualifications and experience of the selected candidate
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) Prototype evaluation and model optimisation . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the CDRSP, under the scientific guidance of Prof. João Manuel Matias. . GRANT FINANTIAL
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue