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article. b) Conducting analytical epidemiological studies based on cohort and ecological data, using R software for data management and statistical analysis, as well as the writing of the corresponding
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: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other
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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 of publications
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results. Determine
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in on-going research projects of the Population Hub Draft proposals, reports, and presentations relevant to the projects Perform advanced quantitative data analysis Publish high-quality academic papers
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, statistics, computer science, physics, etc. Prepares and edits research papers, proposal, and reports. Performs advanced testing procedures and analyses of data. May prepare samples for testing. Performs
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research with faculty to be presented at academic forums and published in peer-reviewed academic journals. Collects data and conducts statistical analysis. Conducts literature reviews and performs research
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proficiency in data analysis (with a preference for experience in advanced techniques, though it's not mandatory). Proficiency in programming (e.g., Python or MATLAB) is advantageous. Strong communication
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degree in psychology and demonstrates: Outstanding academic performance throughout both Bachelor's and Master's programs. Exceptional proficiency in data analysis (with a preference for experience in