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Field
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in modelling, simulation, or data analysis of energy systems Knowledge of machine learning or artificial intelligence methods Programming experience (e.g., Python, MATLAB or similar tools) Experience
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of microbiology (mycology), biochemistry, analytical chemistry, and multivariate data analysis, which will be combined with work on grapevine and innovative biological protection strategies. The program and the
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
analysis software (QGIS, ArcGIS, or equivalent). Skills in data analysis, statistics, and data visualization. Work Plan: The selected candidate will join the Coastal Biodiversity Lab at CIIMAR and will carry
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mini-applications that embody key AI workloads by combining multiple underlying kernels and the key data communications between them. You guide and help analysis and optimization of the performance
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to 65 points for publications in areas related to the scientific area of the tender, experience with other data analysis software and experience in data collection; - PQ = 0 for publications in areas
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work
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(e.g. interviews, focus groups, content and discourse analysis) and quantitative data (e.g. surveys, travel behavior datasets); write academic publications and research reports; present research findings
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field. Expertise in analysis of single cell or spatial sequencing data is required. Experience in analysis of bulk RNA and whole exome sequencing data, and genotyping array data is preferred but not
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personnel Provide recommendations and guidelines on experimental design, research direction, data analysis, imaging and microscopy work, and assist in brainstorming and planning future research projects
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metabolomics and transcriptomics data, particularly in wheat. The researcher will be responsible for the integration and analysis of omics datasets, the preparation of scientific reports, and the drafting