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SCHOLARSHIP Refª BI_UrbanM2O Portuguese version A call for tenders is now open for the attribution of one Research Scholarship within the scope of the Project “UrbanM2O - Effective Monitoring and Modelling
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) videos in the context of diagnosing sleep disorders, particularly REM sleep behavior disorder (RBD). The activities to be performed will include:; 1) Training and validation of machine learning models
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Electricity markets modelling; Self-consumption and impact on wholesale market ; Write technical
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the area or area related to that requested in the tender (e.g.: postgraduate studies, advanced studies, specialized training). Preferential factors: Previous experience in Building Information Modelling
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candidate will carry out R&D activities within the scope of the 2022.06672.PTDC project, namely: 1) Review of the literature on complex viscoelasticity, anomalous diffusion, and nonlinear diffusion models and
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of their main targets in human cells; evaluation of their efficacy in tumor cell models; Applicable legislation and regulations: Law N.º 40/2004, of 18 August (Statute of Scientific Research Fellow), amended by
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up and monitor the implementation of Nature-based Climate Resilient Solutions (CRS), as well as to contribute to other activities that fit the general objectives of the project. The selected person
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organizations at the Católica Medical School-UCP. License to establish animal experiments with small mammalian animal models to develop the Regenerative Medicine programme. 6. Selection Process The selection
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 2 months ago
vitro models employing techniques in molecular biology, functional genomics, cell culture and biochemistry; (vi) experience in methods used in fish behavioural analysis; and (vii) capacity to work in a
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OF THE WORK PROGRAMME AND TRAINING: - Study current models of Human-Centered AI (HCAI); - Identify architectural patterns for integrating HCAI strategies; - Analyze and study implementations of the identified