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processing of biological and histological samples and image acquisition; Acquisition and analysis of images, e.g., optical coherence tomography (OCT), ensuring data quality; Support for data processing and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 days ago
the reference COMPETE2030-FEDER-00683900, Operation No. 15733, funded by COMPETE2030 and national funds (FCT) under Call for Applications no. MPr-2023-12. Scientific Area: Neuroscience and Neuroengineering 1
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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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their quality; vii. Collaborate on projects within the scope of the Communication, Image and Marketing Unit, namely event organisation, merchandising and content production. Contest Procedure Applications must be
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epileptic patients to the analysis of microscope images. This position aims to research and develop biomedical image processing methods for the subsequent application of artificial intelligence methods
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membrane separation processes. Good knowledge of English, and mandatory written and oral proficiency in Portuguese. Selection process Read the job offer at http://www.cebal.pt/images/docs/Posicoes/2026
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) within the scope of the project “HUMYK - Autonomous Community Composter", with operation code CENTRO2030-FEDER-01180100 (Nº 17322), co-financed by Centro 2030 Regional Program, Portugal 2030 and the
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. Additional optional skills and qualifications: Experience in computer vision for intelligent processing of documents. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 3 days ago
and quality assessment PCR amplification and DNA sequencing Microscopy techniques and digital image acquisition Experience in plant, algal, and/or cyanobacterial taxonomy Preparation of culture media
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(AutoML) platform to output Machine Learning/Deep Larning models focused on image analysis. In this sense, the focus will be the development of several modules: a module to load, process and store images