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tools (e.g., QGIS) in academic or project contexts will be valued; Knowledge and experience in geometric modelling applied to archaeology, particularly in the use of photogrammetry for the capture
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including nutrient cycling and soil organic matter dynamics, 3) impacts of global change on biodiversity and tree vulnerability to pest and diseases, and, 4) advancing modelling of forest responses to climate
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characterisation techniques, such as squid, MRI, magnetic hyperthermia; Hands on experience with cell culture, 2D/3D in vitro models and in vitro characterisation assays; Experience with the implementation of Safety
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 2 days ago
deadline and submission” of this Call, the candidates must submit, in the application process, a Declaration of Honor regarding the benefited Research Fellowships, issued as defined in the attached model
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make use of knowledge of data modelling, data storage and data processing. Support in the data modelling component, for the definition of the Domain Reference Model, is required. Work collaboratively and
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this type of scholarship; Preferential Requirements: Clear demonstration of skills in modeling and simulating solids, fluids, and their interaction and interface; clear demonstration of skills in finite
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; Other tasks inherent to the development of the project. The call for applications is open for 10 working days from the date of the publication of this notice on Euraxess. Applications and application
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for the attribution of 2 grant of Master within the scope of the project of R&D “Intelligent Models for Outpatient and Medical Exams Scheduling Optimization”, FCT 2024.07481.IACDC/2024, supported by
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“Intelligent Models for Outpatient and Medical Exams Scheduling Optimization”, reference FCT 2024.07481.IACDC/2024, financed by measure RE-C05-i08. M04 – "Support the launch of an R&D project programme aimed
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Management; Knowledge of data organization and management; Knowledge of database creation; Good knowledge of quantitative forecasting models and financial markets. Preferred Factors: Experience in creating