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, Ansible, PowerShell, Python, etc. Preferred Qualifications: ● Familiarity working in an Agile and/or DevOps/DevSecOps environment. ● Familiarity working with version control systems (Git, SVN, Azure DevOps
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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with quantitative data analysis using R and/or Python Demonstrated skills with qualitative research Demonstrated skill in project management and scientific project coordination • Proficiency in Swahili
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addition to genetics, we seek candidates who can teach (1) introductory courses in data science using R or Python or a general biostatistics course, and (2) 200 or 300-level courses in their area of expertise. Ideally
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skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive experience with end-to-end data pipelines
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guidance to support staff and/or student employees. Must be proficient in the use of python, JavaScript, CSS, and HTML; PostgreSQL, MySQL, and SQL oracle; Linux Red Hat and Ubuntu ****The final salary
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Python, PySpark, and machine learning frameworks (e.g., PyTorch) Desired: expertise in working with social media data, metadata, and web standards Ability to communicate fluently in English; basic
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Engineering (ISE) maintains an internationally recognized research program. Please visit us at: https://ise.washington.edu/ to learn more. The Department of Industrial & Systems Engineering has
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). Specific goals will be discussed and elaborated with selected candidate, depending on their background, interests and skills. The successful candidate will join the Climate research group (https
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computational tools such as Python or MATLAB Excellent team player that can also work independently High degree of reliability, organizational and interpersonal skills Service oriented approach towards researches