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quantitative biomedical sciences. Experience with R and/or Python packages Experience working with Linux, including shell scripting Preferred Qualifications: PhD or MD/PhD degree in Bioinformatics, AI machine
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analysis; (c) have a good understanding of both quantitative and qualitative research skills; (d) have knowledge of conducting data analysis by using SPSS, R, STATA or SAS; (e) have a good command
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both quantitative and qualitative research skills; (d) have knowledge of conducting data analysis by using SPSS, R, STATA or SAS; (e) have a good command of both written and spoken English and
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Conservation Biology, or equivalent degree Preferred Education: Ph.D. in Ecology and Conservation Biology, Preferred Experience: Experience with R programming, statistical analysis of coastal datasets
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Postdoctoral Scholarship of R$ 12,000.00 per month, alongwith a Technical Reserve equivalent to 10% of the annual scholarship value to coverunforeseen research-related expenses. If the scholarship holder needs
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, qualitative methods, and AI-based tools is desirable. Fellowship Details Funding agency: São Paulo Research Foundation (FAPESP) Modality: Postdoctoral Fellowship Monthly value: R$ 12,570.00 Duration: 24 months
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solutions for national defense challenges, particularly in West Texas. Responsibilities: Contribute to R&D in areas such as: AI-driven threat detection Knowledge graph-based cyber threat intelligence
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University and the Psychiatric Genomics Consortium. Your skills and attributes for success: Experience of analysing genomic data Experience of working with R Evidence of having contributed to published
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Review, 6: 247-272. • Lang, T., & Ramirez, R. (2024). How ghost scenarios haunt strategy execution. MIT Sloan Management Review, Winter. • Bhatti, Y., Ramirez, R., & Athanasopoulou, A. (2023
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Review, 6: 247-272. • Lang, T., & Ramirez, R. (2024). How ghost scenarios haunt strategy execution. MIT Sloan Management Review, Winter. • Bhatti, Y., Ramirez, R., & Athanasopoulou, A. (2023