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; Advanced knowledge in handling weather and climate-related data; Fluent in Python programming; Ability to write robust and well-documented code; Good knowledge of written and spoken English; Good knowledge
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; Experience in Python and R programming, and shell scripting - information provided in the CV and/or in the motivation letter; Proven scientific experience in the above-mentioned topics, demonstrated by
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statistics; Experience with process-based models in ecology and biogeography; Knowledge of other programming languages (Julia, Python) and cluster-based computing. LanguagesENGLISHLevelExcellent Additional
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econometric methods for analysing large datasets. Are proficient in coding and data management using tools such as Stata, R, or Python. Have a strong interest in the research area and have a strong independent
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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programming (e.g., Python, R, MATLAB) Experience in scientific writing and manuscript preparation for peer-reviewed journals Ability to work independently and collaboratively in an interdisciplinary team
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; Conhecimento de programação em Python e R; Conhecimento em análise de Bases de Dados Relacionais; Participação em conferências e seminários na área do concurso; Envolvimento em ações de divulgação científica e
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