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. WORK PLAN: Development and optimization of biocompatible and biodegradable membranes by electrospinning and their characterization (physical-chemical, mechanical, and biological). Data analysis and
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" BioShoes4All - Inovação e capacitação da fileira do calçado para a bioeconomia sustentável: medida 2.1.1”, co-financed by Component 12 – Promotion of Sustainable Bioeconomy, integrated in the Climate Transition
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na Fileira da Resina Natural para Reforço da Bioeconomia Nacional - medida I2.M2”, co-financed by Component 12 – Promotion of Sustainable Bioeconomy, integrated in the Climate Transition Dimension
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" BioShoes4All - Inovação e capacitação da fileira do calçado para a bioeconomia sustentável: medida 2.1.1”, co-financed by Component 12 – Promotion of Sustainable Bioeconomy”, integrated in the Climate Transition
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 2 hours ago
- DT4ST call), funded by the Recovery and Resilience Plan (PRR), under the implementation of the sub-investment with the code C19-i08, designated as “Smart Territories - AMA” of the PRR, component C19
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to intelligent urban mobility studies, in particular mobility data analysis and modeling. Statistical modeling software and other tools for data processing and analysis will be used. The fellow will also take part
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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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. 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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) Salary elements: base salary, other fixed or variable payments, allowances, vacations, attendance and absenteeism, leaves, other elements related to the attribution of salary supplements; e) Other data