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Field
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. Skills and Experience: A PhD completed or near completion in Economics or a related field. Strong coding skills (e.g., R, Python, Stata). Experience in designing and conducting experiments. Excellent
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); and quantitative data analysis packages (e.g., R, STATA, etc.); Experience in data collection, including quantitative survey questionnaire design, qualitative semi-structured interviewing, etc
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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, urban stormwater, and/or water reuse technologies · Experience with computer programming (e.g., MATLAB, Python, or R) · Experience with statistical and process-based modeling of water resources systems
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: The desired candidate demonstrates strong theoretical and methodological capacities as well as documented expertise in computational methods. Documented experience with R or Python programming is also very
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world. In R&D, all of our history and potential comes together in an environment that welcomes diversity of thought and amplifies every voice. Working closely with colleagues, you'll play a key role in
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commonly used in genetics and molecular epidemiology. Expertise in R, Python, bash is required. Strong communication (oral and written) and interpersonal skills, and experience working in a large research
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the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable
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Description A tender is open for the attribution of 2 Research Fellowships (BI) within the scope of the R&D Unit “Center for Mathematics and Applications” (NOVA Math), with the ref. UID/297/2025, financed by
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 11 days ago
to award a grant for the development of R&D activities by doctoral students, enrolled in doctoral programs, within the project - “Deciphering Unexplored Modalities to Boost Osteosarcoma immunity using