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(Regional Directorate for Science, Innovation and Development). 1. object of the activity The grantee will be responsible for: collecting data, developing and carrying out surveys, statistical processing in
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. d) Excellent competence in programming (e.g., R) and students supervision and mentoring (especially in statistical analysis). e) Solid publication record and great capacity of funding
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requirements: Knowledge and experience with econometrics and statistical methods; Knowledge and experience with data analysis programs (R, Python, Stata); Experience in Health Economics research; Knowledge and
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reports, as well as dissemination material. Tasks will involve the statistical analysis of data using the R programming language and other software, including the development and use of ecological
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 1 month ago
be hired is as follows: -Support the preparation and analysis of tabular data for statistical modeling; -Collaborate in the organization and processing of spatial data, including the preparation
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 3 months ago
techniques, and statistics. • Candidates should speak and write English fluently and have experience in scientific writing. Preferred conditions are previous experience in: projects with a research
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statistical analysis of biodiversity data. 6.1.3 - Criteria for evaluating extension and knowledge dissemination activities developed over the past five years, in particular in the context of promoting culture
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) statistical analysis; (vii) participation in scientific presentations and publications. 5. Application submission Please send an email to clul@letras.ulisboa.pt with the following documents: - application form
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 3 months ago
be hired is as follows: -Support the preparation and analysis of tabular data for statistical modeling; -Collaborate in the organization and processing of spatial data, including the preparation
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to the following weights and criteria: - Criterion 1 - Advanced knowledge of statistics and data analysis - Criterion 2 - Knowledge in conducting experimental protocols and data collection. - Criterion 3