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; Experience producing working code in a relevant language (C, Python, JavaScript, etc.).; and Familiarity with industry best practices in software development. Preferred Qualifications: Experience
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new avenues, with natural curiosity and a passion for new subjects and research areas; experience with one or more general-purpose programming languages, for example Python and general-purpose deep
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analysis using ArcGIS Pro. Experience with one or more of the following is preferred: Google Earth Engine, ERDAS IMAGINE, ENVI, R, Python, SWAT, pixel- and object-based image analysis, feature
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, environmental, survey or behavioural data using R, Python or equivalent software. Experience in evidence synthesis, meta-analysis or the integration of heterogeneous research and field datasets, with
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with the Z-residual and entropy-based R-squared; development of R/Python packages; applications in bioscience and epidemiology, such as microbiome analysis for neuron-degenerative diseases (Longhai Li
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other regionalized GCAM variants, as well as other integrated assessment or earth system models, is highly desirable. Advanced programming skills in R and Python for data processing and visualization
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-science or computational background with hands-on Python skills. Experience with predictive or uncertainty-aware modelling, AI-guided experimentation or related data-driven methods. Experience with
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discipline. Strong background in machine learning/data science, with hands-on Python and experience with modern ML frameworks. Experience with one or more of time-series/sequence modelling, state estimation
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journals It is an advantage if you have: We prefer candidates who have the following skills and experience: Proficiency in R, Python, and shell scripting Familiarity with Unix/Linux operating systems
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is an advantage if you have: Experience working with sensitive data in TSD Methodologal knowledge in cell sorting Basic programming skills (R/Python/Unix) Competence in statistics (R/SPSS/Stata