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oceanography, or related). • Strong scientific programming skills (e.g., Python/Julia/MATLAB) and experience working with large datasets. • Excellent communication skills and evidence of research outputs
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experience in modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application
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techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with
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experience in statistical modelling, machine learning/deep learning, genomics and multimodal biological, and biobank data analysis. Proficiency in R, Python, Perl, and Linux environments. A track record of
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* Experience in one or more of: AAV/vector biology, in vivo gene delivery, mouse models/surgery, single-cell/spatial transcriptomics, ATAC-seq, microscopy, quantitative imaging, computational analysis (R/Python
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 27 days ago
Engineering ii. Basic knowledge of Python iii. Basic CAD modeling skills acquired during academic training iv. Introductory familiarity with numerical simulation (e.g., finite element method and meshless
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functional theory or related techniques Experience with data analysis using, e.g., Origin, Python or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and
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with Linux, Docker, MongoDB, PostgreSQL, and Opal technologies; - Experience with CI/CD methodologies and technologies; - Software development experience based on JavaScript (ReactJS, NodeJS) and Python
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Python, R, or MATLAB. Knowledge of systems biology and integrative approaches to studying microbial communities. Experience in mentoring and teaching Qualifications: A Ph.D. in Computational Science
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programming expertise in at least one of the C++, C# and Python languages. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background