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inference methods for observational data analysis (Required) Familiarity with drug coding systems (NDC, ATC), diagnosis and procedure codes (ICD, CPT). (Required) Exceptional written and verbal communication
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skills. proficiency in basic IT tools for data analysis, documentation, and scientific writing (e.g., Origin, or similar software) is beneficial. Consideration will also be given to good collaborative
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analysis. Contribute to the full breadth of the existing research activities of the A. G. Leventis Chair in Archaeological Materials Science. Co-develop data generation and documentation protocols, and
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, data acquisition, data analysis, and the monitoring and control of single detectors, and complex large scale detector systems. We support scientists (all genders) in planning, implementation, and
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these studies. Candidate will work with collaborative teams on the multidisciplinary aspects of the research projects and will analyze data, write drafts of manuscripts, generate figures, and contribute
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for innovation. Where to apply Website https://pica.cineca.it/unina/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: AFRICA EUROPE OCEANIA NORTH AMERICA SOUTH
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and development of the research methods, the data collection and analysis, and the interpretation of results. They will lead the analysis and interpretation of research data and the dissemination
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estimation using histological and/or imaging techniques. Population genetic analyses to identify ecotypes and subpopulations. Multivariate statistical analysis of health and ecological data. Scientific
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. Applications from equally qualified candidates with disabilities will be given preference. General information on professorships, hiring processes, and the German academic system may be found here: https://uni
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atmospheric sciences, aerosol chemistry or meteorology Knowledge in atmospheric/aerosol physics and (in-field) experimental work Experience in programming (e.g. Python) to perform your data analysis