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. Working plan: 1- Study of the incidence of emerging contaminants surface waters the North of Portugal using chromatography methods with tandem mass spectrometry; 2- Development and characterization of “deep
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related fields. Additional optional skills and qualifications: Experience in deep learning for medical imaging. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 5 days ago
. Admission Requirements: Mandatory: - Candidate must have Master's degrees in Biochemistry or related fields; - Candidate must be enrolled in a PhD program preferably in Health Sciences, at a higher education
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, corresponding to pre-, intra-, and post-operative phases of brain surgery. The work includes data pre-processing, implementation and training of deep learning methods, and evaluation of the results. Legislation
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and qualifications: Experience in deep learning for remote sensing. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in Master's degree in
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service performance. The following work will be performed in the scope of project 6G-VERSUS. The tasks to be performed in the context of this scholarship include: Acquire foundational knowledge, including
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compression, event-based or neuromorphic vision, signal processing, machine learning or deep learning for visual data. - Motivation for research and scientific dissemination. - Good communication skills in
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analysis and learning models applied to brain and physiological signals. The objectives of this fellowship are: 1. Survey of the state of the art in science and technology of artificial intelligence models
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or radiologist) -Analysis of behavioural and fMRI, DTI or anatomical data (depending on what the fellow wants to learn) -Activities, which are required from a PhD student (e.g., pre-defense, attending obligatory