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position focused on the development of low-power SiPM-based radiation detectors for space missions. The selected candidate will be involved in the data analysis for the quality control of ASICs developed
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functionalization. Chemical characterization by different means (FTIR, UV-Vis, electron microscopies, TGA, NMR, EPR and elemental analysis, among others). Morphological characteriztion electron microscopy, (SEM, TEM
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sustainability of interventions. Data Analysis and Professional Skills Competence in data collection, statistical analysis, and interpretation using standard analytical tools. Knowledge of research ethics and data
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, or decision-support systems). Skills in data integration and management, including PA, weather, and environmental data. Basic competence in data analysis using tools such as R, Python, or similar. Research
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professions. Main responsibilities and tasks (derived from INEFC functions in the project CIMA360): Participation in the analysis of emerging competences and diagnosis of training needs (A4.1). Contribution
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the analysis of aircraft-based observations, controlled laboratory experiments, and the development of advanced simulation tools. In parallel, GRAIL addresses key technological challenges, including
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, environmental sciences, or a related field. Strong knowledge of laboratory methods for the characterization of organic raw materials and fertilizers, including data analysis and interpretation. Practical
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, electroencephalograph (EEG), electrocardiograph (ECG) Data management and analysis Scientific writing Supervision of experimental development and provision of refinement or improvements Results dissemination Supervision
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the University of Lleida. Responsibilities and tasks The overall aim is to develop methods and models (mainly in Python and OpenModelica) for optimization, and analysis of scale-grid systems integrated with power
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of graphene derivatives, 5 points/month, maximum 25 points. - Demonstrated experience in the use of microscopy, thermogravimetric analysis, MRI, spectrometry, 5 points/month, maximum 20 points. - Personal