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environment; Python programming Preferred Qualifications Experience with unstructured grid ocean modeling system such as SCHISM. Experience of using programming language Python to deal with large 3D ocean data
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security, and reproducible experiments. Strong programming skills (e.g., Python/C++); ability to prototype and evaluate security controls on cloud-native stacks (Docker, Kubernetes, Helm). Records
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the use of MATLAB and python Manuscript preparation and ability to communicate research results clearly Knowledge, Skills, and Abilities Ability to multitask and work cooperatively with others
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in a
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methods and foundations. Strong programming skills, including the use of Python / TensorFlow /PyTorch. Experience using high-performance computing systems. Ability to work with multidisciplinary teams
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machine learning, deep learning, data visualization, and applied analytics for multi-modal datasets. Technical proficiency with Python, R, SQL, SPSS, Tableau. Architectural and design software expertise
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, Mathematics, Computer Science, or a closely related field. Demonstrated expertise working with multivariate time-series and spatiotemporal datasets. Advanced proficiency in Python. 1–2 years of hands
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for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical, chemical, and biological components into the river-lake network models
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modeling of mosquito-borne diseases as proven by peer reviewed publications. Demonstrably strong programming skills in R or Python. Experience with population biology, population genetics, or ecological and