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Field
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focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and software analyses programs Foster research collaborations and
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Responsibilities: To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc. To produce research reports and/or
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on exciting discovery and translational research projects focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and
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research projects focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and software analyses programs Foster research
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blot, RT-qPCR, CRISPR, etc.); - Perform live-cell confocal microscopy (including image acquisition and analysis); - Provide technical support for all experimental activities within the project
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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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performed in close collaboration with experienced team members. Additionally, the candidate will acquire skills in performing in vivo PET/SPECT and MR/CT imaging experiments and data analysis. The candidate
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9. Evaluation of the prototype in the laboratory 10. Evaluation in a controlled operational environment . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at CIIC
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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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web frameworks, REST/GraphQL APIs, automated testing). • Continuous integration and continuous delivery (CI/CD) in a cloud environment. • Functional validation and performance of the prototype in a