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. Collection, integration and analysis of data from various sources (e.g. clinical, biochemical); 2. Databases creation and update, and application of statistical methods for analyses; 3. Performing functional
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therapeutical approaches. Methods: To leverage the multi-omics platforms and advanced data analysis tools established by NIMSB/MDC to identify genes, proteins, or signalling pathways that are altered in
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preceding the application date; Interest in causal inference, machine learning, and/or field experimentation will be highly valued; Basic skills in programming and data analysis (e.g., Python, R, SQL, PyTorch
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- Neurodevelopmental Employment & Sensemaking for Transformation”. This grant is part of the various activities of the NEST project, which consists of conducting interviews and qualitative analysis of the content
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of prototypes, set-up/conducting of tests and review of specifications for the metal component for road and off-road motorcycles; ii) construction of prototypes, set-up/conducting of tests and review
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provided in the CV and/or motivation letter; b) Knowledge and experience in the analysis of ocean and/or atmospheric data – information provided in the CV and/or motivation letter. Additional optional skills
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academic performance in the chemical sciences; b) Experience in chromatography techniques applied to food quality control and nutritional analysis; c) Previous participation in research projects; d
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period, the advisor will evaluate the fellow(s)' work by applying the following criteria, in accordance with the attached template: a) Achievement of objectives - this component aims to assess the level of
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applications for one scientific research fellowship (BI) within the project “MEAn – Menu Engineering Analysis and other performance analysis”, n European funds allocated to Portugal by the PRR, within the scope
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critical analysis thereof. - Analysis and understanding of the architecture of blockchain solutions, such as EBSI, Hyperledger Fabric, and Ethereum. - Implementation of a cross-chain interoperability layer